From 71c0e80b61755a04ec20c2e8b2ccba335adb5d41 Mon Sep 17 00:00:00 2001 From: vanithakattumuri Date: Sun, 7 Jul 2024 18:46:54 +0900 Subject: [PATCH] #2 updated the documentation of PPF_DFS and updated the readtheDocs --- .../basic/GPFgrowth.py | 2 +- .../basic/PPF_DFS.py | 246 +++++++++--------- ...rtialPeriodicFrequentPattern.basic.doctree | Bin 138052 -> 140049 bytes .../_build/doctrees/environment.pickle | Bin 7986050 -> 7987306 bytes ...iodicFrequentPatternbasicGPFgrowth.doctree | Bin 53523 -> 53527 bytes ...eriodicFrequentPatternbasicPPF_DFS.doctree | Bin 50817 -> 52801 bytes ....partialPeriodicFrequentPattern.basic.html | 238 +++++++++-------- .../basic/GPFgrowth.html | 2 +- .../basic/PPF_DFS.html | 246 +++++++++--------- ...alPeriodicFrequentPatternbasicPPF_DFS.html | 238 +++++++++-------- finalSphinxDocs/_build/html/searchindex.js | 2 +- 11 files changed, 511 insertions(+), 463 deletions(-) diff --git a/PAMI/partialPeriodicFrequentPattern/basic/GPFgrowth.py b/PAMI/partialPeriodicFrequentPattern/basic/GPFgrowth.py index d42c0daa..5361b825 100644 --- a/PAMI/partialPeriodicFrequentPattern/basic/GPFgrowth.py +++ b/PAMI/partialPeriodicFrequentPattern/basic/GPFgrowth.py @@ -142,7 +142,7 @@ class GPFgrowth(partialPeriodicPatterns): - **minPR** (*int*) -- *The user given minPR.* - **finalPatterns** (*dict*) -- *It represents to store the pattern.* - :Methods: - **mine()** -- *Mining process will start from here.* + :**Methods**: - **mine()** -- *Mining process will start from here.* - **getPatterns()** -- *Complete set of patterns will be retrieved with this function.* - **storePatternsInFile(ouputFile)** -- *Complete set of frequent patterns will be loaded in to an output file.* - **getPatternsAsDataFrame()** -- *Complete set of frequent patterns will be loaded in to an output file.* diff --git a/PAMI/partialPeriodicFrequentPattern/basic/PPF_DFS.py b/PAMI/partialPeriodicFrequentPattern/basic/PPF_DFS.py index d54010dc..b9770eb4 100644 --- a/PAMI/partialPeriodicFrequentPattern/basic/PPF_DFS.py +++ b/PAMI/partialPeriodicFrequentPattern/basic/PPF_DFS.py @@ -1,34 +1,40 @@ # PPF_DFS is algorithm to mine the partial periodic frequent patterns. # -# # **Importing this algorithm into a python program** -# -------------------------------------------------------- # -# from PAMI.partialPeriodicFrequentPattern.basic import PPF_DFS as alg +# from PAMI.partialPeriodicFrequentPattern.basic import PPF_DFS as alg +# +# iFile = 'sampleTDB.txt' +# +# minSup = 0.25 # can be specified between 0 and 1 +# +# maxPer = 300 # can be specified between 0 and 1 # -# obj = alg.PPF_DFS(iFile, minSup) +# minPR = 0.7 # can be specified between 0 and 1 # -# obj.startMine() +# obj = alg.PPF_DFS(iFile, minSup, maxPer, minPR, sep) # -# frequentPatterns = obj.getPatterns() +# obj.mine() # -# print("Total number of Frequent Patterns:", len(frequentPatterns)) +# frequentPatterns = obj.getPatterns() # -# obj.save(oFile) +# print("Total number of Frequent Patterns:", len(frequentPatterns)) # -# Df = obj.getPatternInDataFrame() +# obj.save(oFile) # -# memUSS = obj.getMemoryUSS() +# Df = obj.getPatternInDataFrame() # -# print("Total Memory in USS:", memUSS) +# memUSS = obj.getMemoryUSS() # -# memRSS = obj.getMemoryRSS() +# print("Total Memory in USS:", memUSS) # -# print("Total Memory in RSS", memRSS) +# memRSS = obj.getMemoryRSS() # -# run = obj.getRuntime() +# print("Total Memory in RSS", memRSS) # -# print("Total ExecutionTime in seconds:", run) +# run = obj.getRuntime() +# +# print("Total ExecutionTime in seconds:", run) # @@ -59,105 +65,79 @@ class PPF_DFS(partialPeriodicPatterns): """ - :Description: PPF_DFS is algorithm to mine the partial periodic frequent patterns. - - :References: (Has to be added) - - :param iFile: str : - Name of the Input file to mine complete set of frequent pattern's - :param oFile: str : - Name of the output file to store complete set of frequent patterns - :param minSup: str: - The user can specify minSup either in count or proportion of database size. - :param minPR: str: - Controls the maximum number of transactions in which any two items within a pattern can reappear. - :param maxPer: str: - Controls the maximum number of transactions in which any two items within a pattern can reappear. - - :param sep: str : - This variable is used to distinguish items from one another in a transaction. The default seperator is tab space. However, the users can override their default separator. - - :Attributes: - - iFile : file - input file path - oFile : file - output file name - minSup : float - user defined minSup - maxPer : float - user defined maxPer - minPR : float - user defined minPR - tidlist : dict - it stores tids each item - last : int - it represents last time stamp in database - lno : int - number of line in database - mapSupport : dict - to maintain the information of item and their frequency - finalPatterns : dict - it represents to store the patterns - runTime : float - storing the total runtime of the mining process - memoryUSS : float - storing the total amount of USS memory consumed by the program - memoryRSS : float - storing the total amount of RSS memory consumed by the program - - :Methods: - - getPer_Sup(tids) - caluclate ip / (sup+1) - getPerSup(tids) - caluclate ip - oneItems(path) - scan all lines in database - save(prefix,suffix,tidsetx) - save prefix pattern with support and periodic ratio - Generation(prefix, itemsets, tidsets) - Userd to implement prefix class equibalence method to generate the periodic patterns recursively - startMine() - Mining process will start from here - getPartialPeriodicPatterns() - Complete set of patterns will be retrieved with this function - save(ouputFile) - Complete set of frequent patterns will be loaded in to an ouput file - getPatternsAsDataFrame() - Complete set of frequent patterns will be loaded in to an ouput file - getMemoryUSS() - Total amount of USS memory consumed by the mining process will be retrieved from this function - getMemoryRSS() - Total amount of RSS memory consumed by the mining process will be retrieved from this function - getRuntime() - Total amount of runtime taken by the mining process will be retrieved from this function - - **Executing code on Terminal:** - ---------------------------------- - Format: - >>> python3 PPF_DFS.py - - Examples: - >>> python3 PPF_DFS.py sampleDB.txt patterns.txt 10 10 0.5 - - **Sample run of the importing code:** - --------------------------------------- - ... code-block:: python - - from PAMI.partialPeriodicFrequentpattern.basic import PPF_DFS as alg - - obj = alg.PPF_DFS(iFile, minSup) - - obj.startMine() - - frequentPatterns = obj.getPatterns() - - print("Total number of Frequent Patterns:", len(frequentPatterns)) + **About this algorithm** + + :**Description**: PPF_DFS is algorithm to mine the partial periodic frequent patterns. + + :**References**: (Has to be added) + + :**parameters**: - **iFile** (*str*) -- *Name of the Input file to mine complete set of correlated patterns.* + - **oFile** (*str*) -- *Name of the output file to store complete set of correlated patterns.* + - **minSup** (*int or float or str*) -- *The user can specify minSup either in count or proportion of database size. If the program detects the data type of minSup is integer, then it treats minSup is expressed in count.* + - **minPR** (*str*) -- *Controls the maximum number of transactions in which any two items within a pattern can reappear.* + - **maxPer** (*str*) -- *Controls the maximum number of transactions in which any two items within a pattern can reappear.* + - **sep** (*str*) -- *This variable is used to distinguish items from one another in a transaction. The default seperator is tab space. However, the users can override their default separator.* + + :**Attributes**: - **memoryUSS** (*float*) -- *To store the total amount of USS memory consumed by the program.* + - **memoryRSS** (*float*) -- *To store the total amount of RSS memory consumed by the program.* + - **startTime** (*float*) -- *To record the start time of the mining process.* + - **endTime** (*float*) -- *To record the completion time of the mining process.* + - **minSup** (*int*) -- *The user given minSup.* + - **maxPer** (*int*) -- *The user given maxPer.* + - **minPR** (*int*) -- *The user given minPR.* + - **finalPatterns** (*dict*) -- *It represents to store the pattern.* + + :**Methods**: - **mine()** -- *Mining process will start from here.* + - **Generation(prefix, itemsets, tidsets)** -- *Used to implement prefix class equibalence method to generate the periodic patterns recursively.* + - **getPartialPeriodicPatterns()** -- *Complete set of patterns will be retrieved with this function.* + - **storePatternsInFile(ouputFile)** -- *Complete set of frequent patterns will be loaded in to an output file.* + - **getPatternsAsDataFrame()** -- *Complete set of frequent patterns will be loaded in to an output file.* + - **getMemoryUSS()** -- *Total amount of USS memory consumed by the mining process will be retrieved from this function.* + - **getMemoryRSS()** -- *Total amount of RSS memory consumed by the mining process will be retrieved from this function.* + - **getRuntime()** -- *Total amount of runtime taken by the mining process will be retrieved from this function.* + + + **Execution methods** + + **Terminal command** + + .. code-block:: console + + Format: + + (.venv) $ python3 PPF_DFS.py + + Example Usage: + + (.venv) $ python3 PPF_DFS.py sampleTDB.txt output.txt 0.25 300 0.7 + + .. note:: minSup can be specified in support count or a value between 0 and 1. + + **Calling from a python program** + + .. code-block:: python + + from PAMI.partialPeriodicFrequentPattern.basic import PPF_DFS as alg + + iFile = 'sampleTDB.txt' + + minSup = 0.25 # can be specified between 0 and 1 + + maxPer = 300 # can be specified between 0 and 1 + + minPR = 0.7 # can be specified between 0 and 1 + + obj = alg.PPF_DFS(inputFile, minSup, maxPer, minPR, sep) + + obj.mine() + + partialPeriodicFrequentPatterns = obj.getPatterns() + + print("Total number of partial periodic Patterns:", len(partialPeriodicFrequentPatterns)) obj.save(oFile) - Df = obj.getPatternInDataFrame() + Df = obj.getPatternInDf() memUSS = obj.getMemoryUSS() @@ -171,9 +151,9 @@ class PPF_DFS(partialPeriodicPatterns): print("Total ExecutionTime in seconds:", run) - **Credits:** - ------------- - The complete program was written by S. Nakamura under the supervision of Professor Rage Uday Kiran.\n + **Credits** + + The complete program was written by Nakamura and revised by Tarun Sreepada under the supervision of Professor Rage Uday Kiran. """ @@ -199,7 +179,6 @@ class PPF_DFS(partialPeriodicPatterns): def _creatingItemSets(self) -> None: """ - Storing the complete transactions of the database/input file in a database variable :return: None @@ -297,6 +276,13 @@ def startMine(self): self.mine() def _getPerSup(self, arr): + """ + This function takes the arr as input and returns locs as output + + :param arr: an array contains the items. + :type arr: array + :return: locs + """ arr = list(arr) arr.append(self._maxTS) arr.append(0) @@ -308,6 +294,18 @@ def _getPerSup(self, arr): return locs def __recursive(self, cands, items): + """ + This method processes candidate patterns, generates new candidates by intersecting + itemsets, and filters them based on minimum support and periodic support ratio. + If new candidates are found, the method recursively calls itself. + + :param cands: List of current candidate patterns. + :type cands: List of tuple + :param items: Dictionary where keys are candidate patterns and values are sets of transaction indices in which the pattern occurs. + :type items: dict + :return: None + """ + for i in range(len(cands)): newCands = [] nitems = {} @@ -384,7 +382,9 @@ def mine(self): self._partialPeriodicPatterns__memoryRSS = process.memory_info().rss def getMemoryUSS(self): - """Total amount of USS memory consumed by the mining process will be retrieved from this function + """ + Total amount of USS memory consumed by the mining process will be retrieved from this function + :return: returning USS memory consumed by the mining process :rtype: float """ @@ -392,7 +392,9 @@ def getMemoryUSS(self): return self._partialPeriodicPatterns__memoryUSS def getMemoryRSS(self): - """Total amount of RSS memory consumed by the mining process will be retrieved from this function + """ + Total amount of RSS memory consumed by the mining process will be retrieved from this function + :return: returning RSS memory consumed by the mining process :rtype: float """ @@ -400,7 +402,9 @@ def getMemoryRSS(self): return self._partialPeriodicPatterns__memoryRSS def getRuntime(self): - """Calculating the total amount of runtime taken by the mining process + """ + Calculating the total amount of runtime taken by the mining process + :return: returning total amount of runtime taken by the mining process :rtype: float """ @@ -410,6 +414,7 @@ def getRuntime(self): def getPatternsAsDataFrame(self): """ Storing final frequent patterns in a dataframe + :return: returning frequent patterns in a dataframe :rtype: pd.DataFrame """ @@ -425,6 +430,7 @@ def getPatternsAsDataFrame(self): def save(self, outFile): """ Complete set of frequent patterns will be loaded in to an output file + :param outFile: name of the output file :type outFile: csv file """ @@ -435,7 +441,9 @@ def save(self, outFile): f.write(x + ":" + str(y[0]) + ":" + str(y[1]) + "\n") def getPatterns(self): - """ Function to send the set of frequent patterns after completion of the mining process + """ + Function to send the 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Submodules class PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS.PPF_DFS(iFile, minSup, maxPer, minPR, sep='\t')[source]

Bases: partialPeriodicPatterns

+

About this algorithm

Description:

PPF_DFS is algorithm to mine the partial periodic frequent patterns.

@@ -319,148 +320,160 @@

SubmodulesParameters:
    -

  • iFile – str : -Name of the Input file to mine complete set of frequent pattern’s

    • -

  • oFile – str : -Name of the output file to store complete set of frequent patterns

    • -

  • minSup – str: -The user can specify minSup either in count or proportion of database size.

    • -

  • minPR – str: -Controls the maximum number of transactions in which any two items within a pattern can reappear.

    • -

  • maxPer – str: -Controls the maximum number of transactions in which any two items within a pattern can reappear.

    • -

  • sep – str : -This variable is used to distinguish items from one another in a transaction. The default seperator is tab space. However, the users can override their default separator.

    • +

  • iFile (str) – Name of the Input file to mine complete set of correlated patterns.

    • +

  • oFile (str) – Name of the output file to store complete set of correlated patterns.

    • +

  • minSup (int or float or str) – The user can specify minSup either in count or proportion of database size. If the program detects the data type of minSup is integer, then it treats minSup is expressed in count.

    • +

  • minPR (str) – Controls the maximum number of transactions in which any two items within a pattern can reappear.

    • +

  • maxPer (str) – Controls the maximum number of transactions in which any two items within a pattern can reappear.

    • +

  • sep (str) – This variable is used to distinguish items from one another in a transaction. The default seperator is tab space. However, the users can override their default separator.

Attributes:
-
-
iFilefile

input file path

-
-
oFilefile

output file name

-
-
minSupfloat

user defined minSup

-
-
maxPerfloat

user defined maxPer

-
-
minPRfloat

user defined minPR

-
-
tidlistdict

it stores tids each item

-
-
lastint

it represents last time stamp in database

-
-
lnoint

number of line in database

-
-
mapSupportdict

to maintain the information of item and their frequency

-
-
finalPatternsdict

it represents to store the patterns

-
-
runTimefloat

storing the total runtime of the mining process

-
-
memoryUSSfloat

storing the total amount of USS memory consumed by the program

-
-
memoryRSSfloat

storing the total amount of RSS memory consumed by the program

-
-
+
    +

  • memoryUSS (float) – To store the total amount of USS memory consumed by the program.

    • +

  • memoryRSS (float) – To store the total amount of RSS memory consumed by the program.

    • +

  • startTime (float) – To record the start time of the mining process.

    • +

  • endTime (float) – To record the completion time of the mining process.

    • +

  • minSup (int) – The user given minSup.

    • +

  • maxPer (int) – The user given maxPer.

    • +

  • minPR (int) – The user given minPR.

    • +

  • finalPatterns (dict) – It represents to store the pattern.

    • +
Methods:
-
-
getPer_Sup(tids)

caluclate ip / (sup+1)

-
-
getPerSup(tids)

caluclate ip

-
-
oneItems(path)

scan all lines in database

-
-
save(prefix,suffix,tidsetx)

save prefix pattern with support and periodic ratio

-
-
Generation(prefix, itemsets, tidsets)

Userd to implement prefix class equibalence method to generate the periodic patterns recursively

-
-
startMine()

Mining process will start from here

-
-
getPartialPeriodicPatterns()

Complete set of patterns will be retrieved with this function

-
-
save(ouputFile)

Complete set of frequent patterns will be loaded in to an ouput file

-
-
getPatternsAsDataFrame()

Complete set of frequent patterns will be loaded in to an ouput file

-
-
getMemoryUSS()

Total amount of USS memory consumed by the mining process will be retrieved from this function

-
-
getMemoryRSS()

Total amount of RSS memory consumed by the mining process will be retrieved from this function

-
-
getRuntime()

Total amount of runtime taken by the mining process will be retrieved from this function

-
-
+
    +

  • mine() – Mining process will start from here.

    • +

  • Generation(prefix, itemsets, tidsets) – Used to implement prefix class equibalence method to generate the periodic patterns recursively.

    • +

  • getPartialPeriodicPatterns() – Complete set of patterns will be retrieved with this function.

    • +

  • storePatternsInFile(ouputFile) – Complete set of frequent patterns will be loaded in to an output file.

    • +

  • getPatternsAsDataFrame() – Complete set of frequent patterns will be loaded in to an output file.

    • +

  • getMemoryUSS() – Total amount of USS memory consumed by the mining process will be retrieved from this function.

    • +

  • getMemoryRSS() – Total amount of RSS memory consumed by the mining process will be retrieved from this function.

    • +

  • getRuntime() – Total amount of runtime taken by the mining process will be retrieved from this function.

    • +

-
-
-
Format:
>>> python3 PPF_DFS.py <inputFile> <outputFile> <minSup> <maxPer> <minPR>
+
Execution methods

+
Terminal command

+
Format:
+
+(.venv) $ python3 PPF_DFS.py <inputFile> <outputFile> <minSup> <maxPer> <minPR>
+
+Example Usage:
+
+(.venv) $ python3 PPF_DFS.py sampleTDB.txt output.txt 0.25 300 0.7
 

 

-
-
Examples:
>>> python3 PPF_DFS.py sampleDB.txt patterns.txt 10 10 0.5
+

+
Note

+
minSup can be specified in support count or a value between 0 and 1.

+

+
Calling from a python program

+
from PAMI.partialPeriodicFrequentPattern.basic import PPF_DFS as alg
+
+iFile = 'sampleTDB.txt'
+
+minSup = 0.25 # can be specified between 0 and 1
+
+maxPer = 300 # can  be specified between 0 and 1
+
+minPR = 0.7 # can  be specified between 0 and 1
+
+obj = alg.PPF_DFS(inputFile, minSup, maxPer, minPR, sep)
+
+obj.mine()
+
+partialPeriodicFrequentPatterns = obj.getPatterns()
+
+print("Total number of partial periodic Patterns:", len(partialPeriodicFrequentPatterns))
+
+obj.save(oFile)
+
+Df = obj.getPatternInDf()
+
+memUSS = obj.getMemoryUSS()
+
+print("Total Memory in USS:", memUSS)
+
+memRSS = obj.getMemoryRSS()
+
+print("Total Memory in RSS", memRSS)
+
+run = obj.getRuntime()
+
+print("Total ExecutionTime in seconds:", run)
 

 

-
-
-
-

… code-block:: python

-
-

from PAMI.partialPeriodicFrequentpattern.basic import PPF_DFS as alg

-

obj = alg.PPF_DFS(iFile, minSup)

-

obj.startMine()

-

frequentPatterns = obj.getPatterns()

-

print(“Total number of Frequent Patterns:”, len(frequentPatterns))

-

obj.save(oFile)

-

Df = obj.getPatternInDataFrame()

-

memUSS = obj.getMemoryUSS()

-

print(“Total Memory in USS:”, memUSS)

-

memRSS = obj.getMemoryRSS()

-

print(“Total Memory in RSS”, memRSS)

-

run = obj.getRuntime()

-

print(“Total ExecutionTime in seconds:”, run)

-
-
-

The complete program was written by S. Nakamura under the supervision of Professor Rage Uday Kiran.

-
+

Credits

+

The complete program was written by Nakamura and revised by Tarun Sreepada under the supervision of Professor Rage Uday Kiran.

getMemoryRSS()[source]
-

Total amount of RSS memory consumed by the mining process will be retrieved from this function -:return: returning RSS memory consumed by the mining process -:rtype: float

+

Total amount of RSS memory consumed by the mining process will be retrieved from this function

+
+
Returns:
+

returning RSS memory consumed by the mining process

+
+
Return type:
+

float

+
+
getMemoryUSS()[source]
-

Total amount of USS memory consumed by the mining process will be retrieved from this function -:return: returning USS memory consumed by the mining process -:rtype: float

+

Total amount of USS memory consumed by the mining process will be retrieved from this function

+
+
Returns:
+

returning USS memory consumed by the mining process

+
+
Return type:
+

float

+
+
getPatterns()[source]
-

Function to send the set of frequent patterns after completion of the mining process -:return: returning frequent patterns -:rtype: dict

+

Function to send the set of frequent patterns after completion of the mining process

+
+
Returns:
+

returning frequent patterns

+
+
Return type:
+

dict

+
+
getPatternsAsDataFrame()[source]
-

Storing final frequent patterns in a dataframe -:return: returning frequent patterns in a dataframe -:rtype: pd.DataFrame

+

Storing final frequent patterns in a dataframe

+
+
Returns:
+

returning frequent patterns in a dataframe

+
+
Return type:
+

pd.DataFrame

+
+
getRuntime()[source]
-

Calculating the total amount of runtime taken by the mining process -:return: returning total amount of runtime taken by the mining process -:rtype: float

+

Calculating the total amount of runtime taken by the mining process

+
+
Returns:
+

returning total amount of runtime taken by the mining process

+
+
Return type:
+

float

+
+
@@ -479,9 +492,12 @@

Submodules
save(outFile)[source]
-

Complete set of frequent patterns will be loaded in to an output file -:param outFile: name of the output file -:type outFile: csv file

+

Complete set of frequent patterns will be loaded in to an output file

+
+
Parameters:
+

outFile (csv file) – name of the output file

+
+

diff --git a/finalSphinxDocs/_build/html/_modules/PAMI/partialPeriodicFrequentPattern/basic/GPFgrowth.html b/finalSphinxDocs/_build/html/_modules/PAMI/partialPeriodicFrequentPattern/basic/GPFgrowth.html index 2ae0e656..8e38d7e4 100644 --- a/finalSphinxDocs/_build/html/_modules/PAMI/partialPeriodicFrequentPattern/basic/GPFgrowth.html +++ b/finalSphinxDocs/_build/html/_modules/PAMI/partialPeriodicFrequentPattern/basic/GPFgrowth.html @@ -238,7 +238,7 @@

Source code for PAMI.partialPeriodicFrequentPattern.basic.GPFgrowth

- **minPR** (*int*) -- *The user given minPR.* - **finalPatterns** (*dict*) -- *It represents to store the pattern.* - :Methods: - **mine()** -- *Mining process will start from here.* + :**Methods**: - **mine()** -- *Mining process will start from here.* - **getPatterns()** -- *Complete set of patterns will be retrieved with this function.* - **storePatternsInFile(ouputFile)** -- *Complete set of frequent patterns will be loaded in to an output file.* - **getPatternsAsDataFrame()** -- *Complete set of frequent patterns will be loaded in to an output file.* diff --git a/finalSphinxDocs/_build/html/_modules/PAMI/partialPeriodicFrequentPattern/basic/PPF_DFS.html b/finalSphinxDocs/_build/html/_modules/PAMI/partialPeriodicFrequentPattern/basic/PPF_DFS.html index 8bcd1b0e..b1b5e4b2 100644 --- a/finalSphinxDocs/_build/html/_modules/PAMI/partialPeriodicFrequentPattern/basic/PPF_DFS.html +++ b/finalSphinxDocs/_build/html/_modules/PAMI/partialPeriodicFrequentPattern/basic/PPF_DFS.html @@ -96,35 +96,41 @@

Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS

 # PPF_DFS is algorithm to mine the partial periodic frequent patterns.
 #
-#
 # **Importing this algorithm into a python program**
-# --------------------------------------------------------
 #
-#     from PAMI.partialPeriodicFrequentPattern.basic import PPF_DFS as alg
+#           from PAMI.partialPeriodicFrequentPattern.basic import PPF_DFS as alg
+#
+#           iFile = 'sampleTDB.txt'
+#
+#           minSup = 0.25 # can be specified between 0 and 1
+#
+#           maxPer = 300 # can  be specified between 0 and 1
 #
-#     obj = alg.PPF_DFS(iFile, minSup)
+#           minPR = 0.7 # can  be specified between 0 and 1
 #
-#     obj.startMine()
+#           obj = alg.PPF_DFS(iFile, minSup, maxPer, minPR, sep)
 #
-#     frequentPatterns = obj.getPatterns()
+#           obj.mine()
 #
-#     print("Total number of Frequent Patterns:", len(frequentPatterns))
+#           frequentPatterns = obj.getPatterns()
 #
-#     obj.save(oFile)
+#           print("Total number of Frequent Patterns:", len(frequentPatterns))
 #
-#     Df = obj.getPatternInDataFrame()
+#           obj.save(oFile)
 #
-#     memUSS = obj.getMemoryUSS()
+#           Df = obj.getPatternInDataFrame()
 #
-#     print("Total Memory in USS:", memUSS)
+#           memUSS = obj.getMemoryUSS()
 #
-#     memRSS = obj.getMemoryRSS()
+#           print("Total Memory in USS:", memUSS)
 #
-#     print("Total Memory in RSS", memRSS)
+#           memRSS = obj.getMemoryRSS()
 #
-#     run = obj.getRuntime()
+#           print("Total Memory in RSS", memRSS)
 #
-#     print("Total ExecutionTime in seconds:", run)
+#           run = obj.getRuntime()
+#
+#           print("Total ExecutionTime in seconds:", run)
 #
 
 
@@ -155,105 +161,79 @@ 
Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS
[docs]class PPF_DFS(partialPeriodicPatterns):
     """
-    :Description:   PPF_DFS is algorithm to mine the partial periodic frequent patterns.
-
-    :References:    (Has to be added)
-
-    :param  iFile: str :
-                   Name of the Input file to mine complete set of frequent pattern's
-    :param  oFile: str :
-                   Name of the output file to store complete set of frequent patterns
-    :param  minSup: str:
-                   The user can specify minSup either in count or proportion of database size.
-    :param  minPR: str:
-                   Controls the maximum number of transactions in which any two items within a pattern can reappear.
-    :param  maxPer: str:
-                   Controls the maximum number of transactions in which any two items within a pattern can reappear.
-
-    :param  sep: str :
-                   This variable is used to distinguish items from one another in a transaction. The default seperator is tab space. However, the users can override their default separator.
-
-    :Attributes:
-
-        iFile : file
-            input file path
-        oFile : file
-            output file name
-        minSup : float
-            user defined minSup
-        maxPer : float
-            user defined maxPer
-        minPR : float
-            user defined minPR
-        tidlist : dict
-            it stores tids each item
-        last : int
-            it represents last time stamp in database
-        lno : int
-            number of line in database
-        mapSupport : dict
-            to maintain the information of item and their frequency
-        finalPatterns : dict
-            it represents to store the patterns
-        runTime : float
-            storing the total runtime of the mining process
-        memoryUSS : float
-            storing the total amount of USS memory consumed by the program
-        memoryRSS : float
-            storing the total amount of RSS memory consumed by the program
-
-    :Methods:
-
-        getPer_Sup(tids)
-            caluclate ip / (sup+1)
-        getPerSup(tids)
-            caluclate ip
-        oneItems(path)
-            scan all lines in database
-        save(prefix,suffix,tidsetx)
-            save prefix pattern with support and periodic ratio
-        Generation(prefix, itemsets, tidsets)
-            Userd to implement prefix class equibalence method to generate the periodic patterns recursively
-        startMine()
-            Mining process will start from here
-        getPartialPeriodicPatterns()
-            Complete set of patterns will be retrieved with this function
-        save(ouputFile)
-            Complete set of frequent patterns will be loaded in to an ouput file
-        getPatternsAsDataFrame()
-            Complete set of frequent patterns will be loaded in to an ouput file
-        getMemoryUSS()
-            Total amount of USS memory consumed by the mining process will be retrieved from this function
-        getMemoryRSS()
-            Total amount of RSS memory consumed by the mining process will be retrieved from this function
-        getRuntime()
-            Total amount of runtime taken by the mining process will be retrieved from this function
-
-    **Executing code on Terminal:**
-    ----------------------------------
-        Format:
-            >>> python3 PPF_DFS.py <inputFile> <outputFile> <minSup> <maxPer> <minPR>
-
-        Examples:
-            >>> python3 PPF_DFS.py sampleDB.txt patterns.txt 10 10 0.5
-
-    **Sample run of the importing code:**
-    ---------------------------------------
-    ...     code-block:: python
-
-            from PAMI.partialPeriodicFrequentpattern.basic import PPF_DFS as alg
-
-            obj = alg.PPF_DFS(iFile, minSup)
-
-            obj.startMine()
-
-            frequentPatterns = obj.getPatterns()
-
-            print("Total number of Frequent Patterns:", len(frequentPatterns))
+    **About this algorithm**
+
+    :**Description**:   PPF_DFS is algorithm to mine the partial periodic frequent patterns.
+
+    :**References**:    (Has to be added)
+
+    :**parameters**:    - **iFile** (*str*) -- *Name of the Input file to mine complete set of correlated patterns.*
+                        - **oFile** (*str*) -- *Name of the output file to store complete set of correlated patterns.*
+                        - **minSup** (*int or float or str*) -- *The user can specify minSup either in count or proportion of database size. If the program detects the data type of minSup is integer, then it treats minSup is expressed in count.*
+                        - **minPR** (*str*) -- *Controls the maximum number of transactions in which any two items within a pattern can reappear.*
+                        - **maxPer** (*str*) -- *Controls the maximum number of transactions in which any two items within a pattern can reappear.*
+                        - **sep** (*str*) -- *This variable is used to distinguish items from one another in a transaction. The default seperator is tab space. However, the users can override their default separator.*
+
+    :**Attributes**:    - **memoryUSS** (*float*) -- *To store the total amount of USS memory consumed by the program.*
+                        - **memoryRSS** (*float*) -- *To store the total amount of RSS memory consumed by the program.*
+                        - **startTime** (*float*) -- *To record the start time of the mining process.*
+                        - **endTime** (*float*) -- *To record the completion time of the mining process.*
+                        - **minSup** (*int*) -- *The user given minSup.*
+                        - **maxPer** (*int*) -- *The user given maxPer.*
+                        - **minPR** (*int*) -- *The user given minPR.*
+                        - **finalPatterns** (*dict*) -- *It represents to store the pattern.*
+
+    :**Methods**:       - **mine()** -- *Mining process will start from here.*
+                        - **Generation(prefix, itemsets, tidsets)** -- *Used to implement prefix class equibalence method to generate the periodic patterns recursively.*
+                        - **getPartialPeriodicPatterns()** -- *Complete set of patterns will be retrieved with this function.*
+                        - **storePatternsInFile(ouputFile)** -- *Complete set of frequent patterns will be loaded in to an output file.*
+                        - **getPatternsAsDataFrame()** -- *Complete set of frequent patterns will be loaded in to an output file.*
+                        - **getMemoryUSS()** -- *Total amount of USS memory consumed by the mining process will be retrieved from this function.*
+                        - **getMemoryRSS()** -- *Total amount of RSS memory consumed by the mining process will be retrieved from this function.*
+                        - **getRuntime()** -- *Total amount of runtime taken by the mining process will be retrieved from this function.*
+
+
+    **Execution methods**
+
+    **Terminal command**
+
+    .. code-block:: console
+
+      Format:
+
+      (.venv) $ python3 PPF_DFS.py <inputFile> <outputFile> <minSup> <maxPer> <minPR>
+
+      Example Usage:
+
+      (.venv) $ python3 PPF_DFS.py sampleTDB.txt output.txt 0.25 300 0.7
+
+    .. note:: minSup can be specified in support count or a value between 0 and 1.
+
+    **Calling from a python program**
+
+    .. code-block:: python
+
+            from PAMI.partialPeriodicFrequentPattern.basic import PPF_DFS as alg
+
+            iFile = 'sampleTDB.txt'
+
+            minSup = 0.25 # can be specified between 0 and 1
+
+            maxPer = 300 # can  be specified between 0 and 1
+
+            minPR = 0.7 # can  be specified between 0 and 1
+
+            obj = alg.PPF_DFS(inputFile, minSup, maxPer, minPR, sep)
+
+            obj.mine()
+
+            partialPeriodicFrequentPatterns = obj.getPatterns()
+
+            print("Total number of partial periodic Patterns:", len(partialPeriodicFrequentPatterns))
 
             obj.save(oFile)
 
-            Df = obj.getPatternInDataFrame()
+            Df = obj.getPatternInDf()
 
             memUSS = obj.getMemoryUSS()
 
@@ -267,9 +247,9 @@ 
Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS
            print("Total ExecutionTime in seconds:", run)
 
-    **Credits:**
-    -------------
-        The complete program was written by S. Nakamura  under the supervision of Professor Rage Uday Kiran.\n
+    **Credits**
+
+    The complete program was written by Nakamura and revised by Tarun Sreepada under the supervision of Professor Rage Uday Kiran.
 
     """
 
@@ -295,7 +275,6 @@ 
Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS
def _creatingItemSets(self) -> None:
         """
-
         Storing the complete transactions of the database/input file in a database variable
 
         :return: None
@@ -393,6 +372,13 @@ 
Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS
self.mine()

 
     def _getPerSup(self, arr):
+        """
+        This function takes the arr as input and returns locs as output
+
+        :param arr: an array contains the items.
+        :type arr: array
+        :return: locs
+        """
         arr = list(arr)
         arr.append(self._maxTS)
         arr.append(0)
@@ -404,6 +390,18 @@ 
Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS
return locs
     
     def __recursive(self, cands, items):
+        """
+        This method processes candidate patterns, generates new candidates by intersecting
+        itemsets, and filters them based on minimum support and periodic support ratio.
+        If new candidates are found, the method recursively calls itself.
+
+        :param cands: List of current candidate patterns.
+        :type cands: List of tuple
+        :param items: Dictionary where keys are candidate patterns and values are sets of transaction indices in which the pattern occurs.
+        :type items: dict
+        :return: None
+        """
+
         for i in range(len(cands)):
             newCands = []
             nitems = {}
@@ -480,7 +478,9 @@ 
Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS
self._partialPeriodicPatterns__memoryRSS = process.memory_info().rss

 
 
[docs]    def getMemoryUSS(self):
-        """Total amount of USS memory consumed by the mining process will be retrieved from this function
+        """
+        Total amount of USS memory consumed by the mining process will be retrieved from this function
+
         :return: returning USS memory consumed by the mining process
         :rtype: float
         """
@@ -488,7 +488,9 @@ 
Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS
return self._partialPeriodicPatterns__memoryUSS

 
 
[docs]    def getMemoryRSS(self):
-        """Total amount of RSS memory consumed by the mining process will be retrieved from this function
+        """
+        Total amount of RSS memory consumed by the mining process will be retrieved from this function
+
         :return: returning RSS memory consumed by the mining process
         :rtype: float
         """
@@ -496,7 +498,9 @@ 
Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS
return self._partialPeriodicPatterns__memoryRSS

 
 
[docs]    def getRuntime(self):
-        """Calculating the total amount of runtime taken by the mining process
+        """
+        Calculating the total amount of runtime taken by the mining process
+
         :return: returning total amount of runtime taken by the mining process
         :rtype: float
         """
@@ -506,6 +510,7 @@ 
Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS
[docs]    def getPatternsAsDataFrame(self):
         """
         Storing final frequent patterns in a dataframe
+
         :return: returning frequent patterns in a dataframe
         :rtype: pd.DataFrame
         """
@@ -521,6 +526,7 @@ 
Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS
[docs]    def save(self, outFile):
         """
         Complete set of frequent patterns will be loaded in to an output file
+
         :param outFile: name of the output file
         :type outFile: csv file
         """
@@ -531,7 +537,9 @@ 
Source code for PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS
f.write(x + ":" + str(y[0]) + ":" + str(y[1]) + "\n")

 
 
[docs]    def getPatterns(self):
-        """ Function to send the set of frequent patterns after completion of the mining process
+        """
+        Function to send the set of frequent patterns after completion of the mining process
+
         :return: returning frequent patterns
         :rtype: dict
         """
diff --git a/finalSphinxDocs/_build/html/partialPeriodicFrequentPatternbasicPPF_DFS.html b/finalSphinxDocs/_build/html/partialPeriodicFrequentPatternbasicPPF_DFS.html
index c88e1e50..067d2626 100644
--- a/finalSphinxDocs/_build/html/partialPeriodicFrequentPatternbasicPPF_DFS.html
+++ b/finalSphinxDocs/_build/html/partialPeriodicFrequentPatternbasicPPF_DFS.html
@@ -121,6 +121,7 @@
 

 class PAMI.partialPeriodicFrequentPattern.basic.PPF_DFS.PPF_DFS(iFile, minSup, maxPer, minPR, sep='\t')[source]

 
Bases: partialPeriodicPatterns

+
About this algorithm

 

 
Description:

 
PPF_DFS is algorithm to mine the partial periodic frequent patterns.

@@ -130,148 +131,160 @@
 

 
Parameters:

 
    
-
  • iFile – str :
-Name of the Input file to mine complete set of frequent pattern’s
    • 
-
  • oFile – str :
-Name of the output file to store complete set of frequent patterns
    • 
-
  • minSup – str:
-The user can specify minSup either in count or proportion of database size.
    • 
-
  • minPR – str:
-Controls the maximum number of transactions in which any two items within a pattern can reappear.
    • 
-
  • maxPer – str:
-Controls the maximum number of transactions in which any two items within a pattern can reappear.
    • 
-
  • sep – str :
-This variable is used to distinguish items from one another in a transaction. The default seperator is tab space. However, the users can override their default separator.
    • 
+
  • iFile (str) – Name of the Input file to mine complete set of correlated patterns.
    • 
+
  • oFile (str) – Name of the output file to store complete set of correlated patterns.
    • 
+
  • minSup (int or float or str) – The user can specify minSup either in count or proportion of database size. If the program detects the data type of minSup is integer, then it treats minSup is expressed in count.
    • 
+
  • minPR (str) – Controls the maximum number of transactions in which any two items within a pattern can reappear.
    • 
+
  • maxPer (str) – Controls the maximum number of transactions in which any two items within a pattern can reappear.
    • 
+
  • sep (str) – This variable is used to distinguish items from one another in a transaction. The default seperator is tab space. However, the users can override their default separator.
    • 
 

 

 
Attributes:

-

-
iFilefile
input file path

-

-
oFilefile
output file name

-

-
minSupfloat
user defined minSup

-

-
maxPerfloat
user defined maxPer

-

-
minPRfloat
user defined minPR

-

-
tidlistdict
it stores tids each item

-

-
lastint
it represents last time stamp in database

-

-
lnoint
number of line in database

-

-
mapSupportdict
to maintain the information of item and their frequency

-

-
finalPatternsdict
it represents to store the patterns

-

-
runTimefloat
storing the total runtime of the mining process

-

-
memoryUSSfloat
storing the total amount of USS memory consumed by the program

-

-
memoryRSSfloat
storing the total amount of RSS memory consumed by the program

-

-

+
    
+
  • memoryUSS (float) – To store the total amount of USS memory consumed by the program.
    • 
+
  • memoryRSS (float) – To store the total amount of RSS memory consumed by the program.
    • 
+
  • startTime (float) – To record the start time of the mining process.
    • 
+
  • endTime (float) – To record the completion time of the mining process.
    • 
+
  • minSup (int) – The user given minSup.
    • 
+
  • maxPer (int) – The user given maxPer.
    • 
+
  • minPR (int) – The user given minPR.
    • 
+
  • finalPatterns (dict) – It represents to store the pattern.
    • 
+

 

 
Methods:

-

-
getPer_Sup(tids)
caluclate ip / (sup+1)

-

-
getPerSup(tids)
caluclate ip

-

-
oneItems(path)
scan all lines in database

-

-
save(prefix,suffix,tidsetx)
save prefix pattern with support and periodic ratio

-

-
Generation(prefix, itemsets, tidsets)
Userd to implement prefix class equibalence method to generate the periodic patterns recursively

-

-
startMine()
Mining process will start from here

-

-
getPartialPeriodicPatterns()
Complete set of patterns will be retrieved with this function

-

-
save(ouputFile)
Complete set of frequent patterns will be loaded in to an ouput file

-

-
getPatternsAsDataFrame()
Complete set of frequent patterns will be loaded in to an ouput file

-

-
getMemoryUSS()
Total amount of USS memory consumed by the mining process will be retrieved from this function

-

-
getMemoryRSS()
Total amount of RSS memory consumed by the mining process will be retrieved from this function

-

-
getRuntime()
Total amount of runtime taken by the mining process will be retrieved from this function

-

-

+
    
+
  • mine() – Mining process will start from here.
    • 
+
  • Generation(prefix, itemsets, tidsets) – Used to implement prefix class equibalence method to generate the periodic patterns recursively.
    • 
+
  • getPartialPeriodicPatterns() – Complete set of patterns will be retrieved with this function.
    • 
+
  • storePatternsInFile(ouputFile) – Complete set of frequent patterns will be loaded in to an output file.
    • 
+
  • getPatternsAsDataFrame() – Complete set of frequent patterns will be loaded in to an output file.
    • 
+
  • getMemoryUSS() – Total amount of USS memory consumed by the mining process will be retrieved from this function.
    • 
+
  • getMemoryRSS() – Total amount of RSS memory consumed by the mining process will be retrieved from this function.
    • 
+
  • getRuntime() – Total amount of runtime taken by the mining process will be retrieved from this function.
    • 
+

 

 

-

-

-
Format:
>>> python3 PPF_DFS.py <inputFile> <outputFile> <minSup> <maxPer> <minPR>
+
Execution methods

+
Terminal command

+
Format:
+
+(.venv) $ python3 PPF_DFS.py <inputFile> <outputFile> <minSup> <maxPer> <minPR>
+
+Example Usage:
+
+(.venv) $ python3 PPF_DFS.py sampleTDB.txt output.txt 0.25 300 0.7
 

 

-

-
Examples:
>>> python3 PPF_DFS.py sampleDB.txt patterns.txt 10 10 0.5
+

+
Note

+
minSup can be specified in support count or a value between 0 and 1.

+

+
Calling from a python program

+
from PAMI.partialPeriodicFrequentPattern.basic import PPF_DFS as alg
+
+iFile = 'sampleTDB.txt'
+
+minSup = 0.25 # can be specified between 0 and 1
+
+maxPer = 300 # can  be specified between 0 and 1
+
+minPR = 0.7 # can  be specified between 0 and 1
+
+obj = alg.PPF_DFS(inputFile, minSup, maxPer, minPR, sep)
+
+obj.mine()
+
+partialPeriodicFrequentPatterns = obj.getPatterns()
+
+print("Total number of partial periodic Patterns:", len(partialPeriodicFrequentPatterns))
+
+obj.save(oFile)
+
+Df = obj.getPatternInDf()
+
+memUSS = obj.getMemoryUSS()
+
+print("Total Memory in USS:", memUSS)
+
+memRSS = obj.getMemoryRSS()
+
+print("Total Memory in RSS", memRSS)
+
+run = obj.getRuntime()
+
+print("Total ExecutionTime in seconds:", run)
 

 

-

-

-

-
…     code-block:: python

-

-
from PAMI.partialPeriodicFrequentpattern.basic import PPF_DFS as alg

-
obj = alg.PPF_DFS(iFile, minSup)

-
obj.startMine()

-
frequentPatterns = obj.getPatterns()

-
print(“Total number of Frequent Patterns:”, len(frequentPatterns))

-
obj.save(oFile)

-
Df = obj.getPatternInDataFrame()

-
memUSS = obj.getMemoryUSS()

-
print(“Total Memory in USS:”, memUSS)

-
memRSS = obj.getMemoryRSS()

-
print(“Total Memory in RSS”, memRSS)

-
run = obj.getRuntime()

-
print(“Total ExecutionTime in seconds:”, run)

-

-

-
The complete program was written by S. Nakamura  under the supervision of Professor Rage Uday Kiran.

-

+
Credits

+
The complete program was written by Nakamura and revised by Tarun Sreepada under the supervision of Professor Rage Uday Kiran.

 

 

 getMemoryRSS()[source]

-
Total amount of RSS memory consumed by the mining process will be retrieved from this function
-:return: returning RSS memory consumed by the mining process
-:rtype: float

+
Total amount of RSS memory consumed by the mining process will be retrieved from this function

+

+
Returns:

+
returning RSS memory consumed by the mining process

+

+
Return type:

+
float

+

+

 

 
 

 

 getMemoryUSS()[source]

-
Total amount of USS memory consumed by the mining process will be retrieved from this function
-:return: returning USS memory consumed by the mining process
-:rtype: float

+
Total amount of USS memory consumed by the mining process will be retrieved from this function

+

+
Returns:

+
returning USS memory consumed by the mining process

+

+
Return type:

+
float

+

+

 

 
 

 

 getPatterns()[source]

-
Function to send the set of frequent patterns after completion of the mining process
-:return: returning frequent patterns
-:rtype: dict

+
Function to send the set of frequent patterns after completion of the mining process

+

+
Returns:

+
returning frequent patterns

+

+
Return type:

+
dict

+

+

 

 
 

 

 getPatternsAsDataFrame()[source]

-
Storing final frequent patterns in a dataframe
-:return: returning frequent patterns in a dataframe
-:rtype: pd.DataFrame

+
Storing final frequent patterns in a dataframe

+

+
Returns:

+
returning frequent patterns in a dataframe

+

+
Return type:

+
pd.DataFrame

+

+

 

 
 

 

 getRuntime()[source]

-
Calculating the total amount of runtime taken by the mining process
-:return: returning total amount of runtime taken by the mining process
-:rtype: float

+
Calculating the total amount of runtime taken by the mining process

+

+
Returns:

+
returning total amount of runtime taken by the mining process

+

+
Return type:

+
float

+

+

 

 
 

@@ -290,9 +303,12 @@
 

 

 save(outFile)[source]

-
Complete set of frequent patterns will be loaded in to an output file
-:param outFile: name of the output file
-:type outFile: csv file

+
Complete set of frequent patterns will be loaded in to an output file

+

+
Parameters:

+
outFile (csv file) – name of the output file

+

+

 

 
 

diff --git a/finalSphinxDocs/_build/html/searchindex.js b/finalSphinxDocs/_build/html/searchindex.js
index 5435c53a..81fff1ed 100644
--- a/finalSphinxDocs/_build/html/searchindex.js
+++ b/finalSphinxDocs/_build/html/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["ContiguousFrequentPatterns1", "CorrelatedPatternMining1", "CoveragePatternMining1", "FaultTolerantPatternMining1", "FrequentPatternWithMultipleMinimumSupport1", "FuzzyCorrelatedPatternMining1", "FuzzyFrequentPatternMining1", "FuzzyGeoReferencedFrequentPatternMining1", "FuzzyGeoReferencedPeriodicFrequentPatternMining1", "FuzzyPeriodicFrequentPatternMining1", "GeoReferencedFrequentPatternMining1", "GeoReferencedFrequentSequencePatternMining1", "GeoReferencedPartialPeriodicPatternMining1", "GeoReferencedPeriodicFrequentPatternMining1", "HighUtilityFrequentPatternMining1", "HighUtilityGeo-referencedFrequentPatternMining1", "HighUtilityPatternMining1", "HighUtilitySpatialPatternMining1", "LocalPeriodicPatternMining1", "MultiplePartialPeriodicPatternMining1", "PAMI", "PAMI.AssociationRules", "PAMI.AssociationRules.basic", "PAMI.correlatedPattern", "PAMI.correlatedPattern.basic", "PAMI.coveragePattern", "PAMI.coveragePattern.basic", "PAMI.extras", "PAMI.extras.DF2DB", "PAMI.extras.calculateMISValues", "PAMI.extras.dbStats", "PAMI.extras.fuzzyTransformation", "PAMI.extras.generateDatabase", "PAMI.extras.graph", "PAMI.extras.image2Database", "PAMI.extras.imageProcessing", "PAMI.extras.messaging", "PAMI.extras.neighbours", "PAMI.extras.sampleDatasets", "PAMI.extras.stats", "PAMI.extras.syntheticDataGenerator", "PAMI.extras.visualize", "PAMI.faultTolerantFrequentPattern", "PAMI.faultTolerantFrequentPattern.basic", "PAMI.frequentPattern", "PAMI.frequentPattern.basic", "PAMI.frequentPattern.closed", "PAMI.frequentPattern.cuda", "PAMI.frequentPattern.maximal", "PAMI.frequentPattern.pyspark", "PAMI.frequentPattern.topk", "PAMI.fuzzyCorrelatedPattern", "PAMI.fuzzyCorrelatedPattern.basic", "PAMI.fuzzyFrequentPattern", "PAMI.fuzzyFrequentPattern.basic", "PAMI.fuzzyGeoreferencedFrequentPattern", "PAMI.fuzzyGeoreferencedFrequentPattern.basic", "PAMI.fuzzyGeoreferencedPeriodicFrequentPattern", "PAMI.fuzzyGeoreferencedPeriodicFrequentPattern.basic", "PAMI.fuzzyPartialPeriodicPatterns", "PAMI.fuzzyPartialPeriodicPatterns.basic", "PAMI.fuzzyPeriodicFrequentPattern", "PAMI.fuzzyPeriodicFrequentPattern.basic", "PAMI.geoReferencedPeriodicFrequentPattern", "PAMI.geoReferencedPeriodicFrequentPattern.basic", "PAMI.georeferencedFrequentPattern", "PAMI.georeferencedFrequentPattern.basic", "PAMI.georeferencedFrequentSequencePattern", "PAMI.georeferencedPartialPeriodicPattern", "PAMI.georeferencedPartialPeriodicPattern.basic", "PAMI.highUtilityFrequentPattern", "PAMI.highUtilityFrequentPattern.basic", "PAMI.highUtilityGeoreferencedFrequentPattern", "PAMI.highUtilityGeoreferencedFrequentPattern.basic", "PAMI.highUtilityPattern", "PAMI.highUtilityPattern.basic", "PAMI.highUtilityPattern.parallel", "PAMI.highUtilityPatternsInStreams", "PAMI.highUtilitySpatialPattern", "PAMI.highUtilitySpatialPattern.basic", "PAMI.highUtilitySpatialPattern.topk", "PAMI.localPeriodicPattern", "PAMI.localPeriodicPattern.basic", "PAMI.multipleMinimumSupportBasedFrequentPattern", "PAMI.multipleMinimumSupportBasedFrequentPattern.basic", "PAMI.partialPeriodicFrequentPattern", "PAMI.partialPeriodicFrequentPattern.basic", "PAMI.partialPeriodicPattern", "PAMI.partialPeriodicPattern.basic", "PAMI.partialPeriodicPattern.closed", "PAMI.partialPeriodicPattern.maximal", "PAMI.partialPeriodicPattern.pyspark", "PAMI.partialPeriodicPattern.topk", "PAMI.partialPeriodicPatternInMultipleTimeSeries", "PAMI.periodicCorrelatedPattern", "PAMI.periodicCorrelatedPattern.basic", "PAMI.periodicFrequentPattern", "PAMI.periodicFrequentPattern.basic", "PAMI.periodicFrequentPattern.closed", "PAMI.periodicFrequentPattern.cuda", "PAMI.periodicFrequentPattern.maximal", "PAMI.periodicFrequentPattern.pyspark", "PAMI.periodicFrequentPattern.topk", "PAMI.periodicFrequentPattern.topk.TopkPFP", "PAMI.periodicFrequentPattern.topk.kPFPMiner", "PAMI.recurringPattern", "PAMI.recurringPattern.basic", "PAMI.relativeFrequentPattern", "PAMI.relativeFrequentPattern.basic", "PAMI.relativeHighUtilityPattern", "PAMI.relativeHighUtilityPattern.basic", "PAMI.sequence", "PAMI.sequentialPatternMining", "PAMI.sequentialPatternMining.basic", "PAMI.sequentialPatternMining.closed", "PAMI.stablePeriodicFrequentPattern", "PAMI.stablePeriodicFrequentPattern.basic", "PAMI.stablePeriodicFrequentPattern.topK", "PAMI.subgraphMining", "PAMI.subgraphMining.basic", "PAMI.subgraphMining.topK", "PAMI.uncertainFaultTolerantFrequentPattern", "PAMI.uncertainFrequentPattern", "PAMI.uncertainFrequentPattern.basic", "PAMI.uncertainGeoreferencedFrequentPattern", "PAMI.uncertainGeoreferencedFrequentPattern.basic", "PAMI.uncertainPeriodicFrequentPattern", "PAMI.uncertainPeriodicFrequentPattern.basic", "PAMI.weightedFrequentNeighbourhoodPattern", "PAMI.weightedFrequentNeighbourhoodPattern.basic", "PAMI.weightedFrequentPattern", "PAMI.weightedFrequentPattern.basic", "PAMI.weightedFrequentRegularPattern", "PAMI.weightedFrequentRegularPattern.basic", "PAMI.weightedUncertainFrequentPattern", "PAMI.weightedUncertainFrequentPattern.basic", "PartialPeriodicFrequentPatternMining1", "PartialPeriodicPatternMining1", "PeriodicCorrelatedPatternMining1", "PeriodicFrequentPatternMining1", "RecurringPatternMining1", "RelativeHighUtilityPatternMining1", "SequentialFrequentPatternMining1", "StablePeriodicPatternMining1", "UncertainFrequentPatternMining1", "UncertainGeoReferencedFrequentPatternMining1", "UncertainPeriodicFrequentPatternMining1", "WeightedFrequentNeighbourhoodPatternMining1", "WeightedFrequentPatternMining1", "WeightedFrequentRegularPatternMining1", "contiguousFrequentPatterns", "contiguousPatternMining", "correlatedPatternBasicCoMine", "correlatedPatternBasicCoMinePlus", "correlatedPatternMining", "coveragePatternBasicCMine", "coveragePatternBasicCPPG", "coveragePatternMining", "faultTolerantFrequentPatternBasicFTApriori", "faultTolerantFrequentPatternBasicFTFPGrowth", 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"periodicCorrelatedPatternbasicEPCPGrowth", "periodicFrequentPatternMining", "periodicFrequentPatternbasicPFECLAT", "periodicFrequentPatternbasicPFPGrowth", "periodicFrequentPatternbasicPFPGrowthPlus", "periodicFrequentPatternbasicPFPMC", "periodicFrequentPatternbasicPSGrowth", "periodicFrequentPatternclosedCPFPMiner", "periodicFrequentPatternmaximalMaxPFGrowth", "periodicFrequentPatterntopkTopkPFPTopkPFP", "periodicFrequentPatterntopkkPFPMinerkPFPMiner", "recurringPatternMining", "recurringPatternbasicRPGrowth", "relativeFrequent", "relativeFrequentPattern", "relativeFrequentPatternBasicRSFPGrowth", "relativeHighUtilityPatternBasicRHUIM", "relativeHighUtilityPatternMining", "sequentialFrequentPatternMining", "sequentialPatternMining", "sequentialPatternMiningBasicSPADE", "sequentialPatternMiningBasicSPAM", "sequentialPatternMiningBasicprefixSpan", "sequentialPatternMiningClosedbide", "stablePeriodicFrequentPatternbasicSPPEclat", "stablePeriodicFrequentPatternbasicSPPGrowth", 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"localPeriodicPatternbasicLPPMBreadth.rst", "localPeriodicPatternbasicLPPMDepth.rst", "modules.rst", "multipleMinimumSupportBasedFrequentPatternBasicCFPGrowth.rst", "multipleMinimumSupportBasedFrequentPatternBasicCFPGrowthPlus.rst", "multiplePartialPeriodicPatternMining.rst", "multipleTimeseriesPatternMining.rst", "partialPeriodicFrequentPatternMining.rst", "partialPeriodicFrequentPatternbasicGPFgrowth.rst", "partialPeriodicFrequentPatternbasicPPF_DFS.rst", "partialPeriodicPatternInMultipleTimeSeriesPPGrowth.rst", "partialPeriodicPatternMining.rst", "partialPeriodicPatternbasicGThreePGrowth.rst", "partialPeriodicPatternbasicPPPGrowth.rst", "partialPeriodicPatternbasicPPP_ECLAT.rst", "partialPeriodicPatternclosedPPPClose.rst", "partialPeriodicPatternmaximalMax3PGrowth.rst", "partialPeriodicPatterntopkk3PMiner.rst", "periodicCorrelatedPatternMining.rst", "periodicCorrelatedPatternbasicEPCPGrowth.rst", "periodicFrequentPatternMining.rst", "periodicFrequentPatternbasicPFECLAT.rst", "periodicFrequentPatternbasicPFPGrowth.rst", "periodicFrequentPatternbasicPFPGrowthPlus.rst", "periodicFrequentPatternbasicPFPMC.rst", "periodicFrequentPatternbasicPSGrowth.rst", "periodicFrequentPatternclosedCPFPMiner.rst", "periodicFrequentPatternmaximalMaxPFGrowth.rst", "periodicFrequentPatterntopkTopkPFPTopkPFP.rst", "periodicFrequentPatterntopkkPFPMinerkPFPMiner.rst", "recurringPatternMining.rst", "recurringPatternbasicRPGrowth.rst", "relativeFrequent.rst", "relativeFrequentPattern.rst", "relativeFrequentPatternBasicRSFPGrowth.rst", "relativeHighUtilityPatternBasicRHUIM.rst", "relativeHighUtilityPatternMining.rst", "sequentialFrequentPatternMining.rst", "sequentialPatternMining.rst", "sequentialPatternMiningBasicSPADE.rst", "sequentialPatternMiningBasicSPAM.rst", "sequentialPatternMiningBasicprefixSpan.rst", "sequentialPatternMiningClosedbide.rst", "stablePeriodicFrequentPatternbasicSPPEclat.rst", "stablePeriodicFrequentPatternbasicSPPGrowth.rst", "stablePeriodicFrequentPatterntopKTSPIN.rst", "stablePeriodicPatternMining.rst", "temporalPatternMining.rst", "transactionalPatternMining.rst", "uncertainFrequentPatternBasicCUFPTree.rst", "uncertainFrequentPatternBasicPUFGrowth.rst", "uncertainFrequentPatternBasicTUFP.rst", "uncertainFrequentPatternBasicTubeP.rst", "uncertainFrequentPatternBasicTubeS.rst", "uncertainFrequentPatternBasicUFGrowth.rst", "uncertainFrequentPatternBasicUVECLAT.rst", "uncertainFrequentPatternMining.rst", "uncertainGeoReferencedFrequentPatternMining.rst", "uncertainGeoreferencedFrequentPatternBasicGFPGrowth.rst", "uncertainPatternMining.rst", "uncertainPeriodicFrequentPatternBasicUPFPGrowth.rst", "uncertainPeriodicFrequentPatternBasicUPFPGrowthPlus.rst", "uncertainPeriodicFrequentPatternMining.rst", "utilityPatternMining.rst", "weightedFrequentNeighbourhoodPatternBasicSWFPGrowth.rst", "weightedFrequentNeighbourhoodPatternMining.rst", "weightedFrequentPatternBasicWFIM.rst", "weightedFrequentPatternMining.rst", "weightedFrequentRegularPatternBasicWFRIMiner.rst", "weightedFrequentRegularPatternMining.rst"], "titles": ["Contiguous Frequent Patterns", "Correlated Pattern Mining", "Coverage Pattern Mining", "Fault-Tolerant Frequent Pattern Mining", "Frequent pattern With Multiple Minimum Support", "Fuzzy Correlated Pattern Mining", "Fuzzy Frequent Pattern Mining", "Fuzzy Geo-referenced Frequent Pattern Mining", "Fuzzy Geo-referenced Periodic Frequent Pattern Mining", "Fuzzy Periodic Frequent Pattern Mining", "Geo-referenced Frequent Pattern Mining", "Geo-referenced Frequent Sequence Pattern mining", "Geo-referenced Partial Periodic Pattern Mining", "Geo-referenced Periodic Frequent Pattern Mining", "High-Utility Frequent Pattern Mining", "High-Utility Geo-referenced Frequent Pattern Mining", "High-Utility Pattern mining", "High-Utility Spatial Pattern Mining", "Local Periodic Pattern Mining", "Multiple Partial Periodic Pattern Mining", "PAMI package", "PAMI.AssociationRules package", "PAMI.AssociationRules.basic package", "PAMI.correlatedPattern package", "PAMI.correlatedPattern.basic package", "PAMI.coveragePattern package", "PAMI.coveragePattern.basic package", "PAMI.extras package", "PAMI.extras.DF2DB package", "PAMI.extras.calculateMISValues package", "PAMI.extras.dbStats package", "PAMI.extras.fuzzyTransformation package", "PAMI.extras.generateDatabase package", "PAMI.extras.graph package", "PAMI.extras.image2Database package", "PAMI.extras.imageProcessing package", "PAMI.extras.messaging package", "PAMI.extras.neighbours package", "PAMI.extras.sampleDatasets package", "PAMI.extras.stats package", "PAMI.extras.syntheticDataGenerator package", "PAMI.extras.visualize package", "PAMI.faultTolerantFrequentPattern package", "PAMI.faultTolerantFrequentPattern.basic package", "PAMI.frequentPattern package", "PAMI.frequentPattern.basic package", "PAMI.frequentPattern.closed package", "PAMI.frequentPattern.cuda package", "PAMI.frequentPattern.maximal package", "PAMI.frequentPattern.pyspark package", "PAMI.frequentPattern.topk package", "PAMI.fuzzyCorrelatedPattern package", "PAMI.fuzzyCorrelatedPattern.basic package", "PAMI.fuzzyFrequentPattern package", "PAMI.fuzzyFrequentPattern.basic package", "PAMI.fuzzyGeoreferencedFrequentPattern package", "PAMI.fuzzyGeoreferencedFrequentPattern.basic package", "PAMI.fuzzyGeoreferencedPeriodicFrequentPattern package", "PAMI.fuzzyGeoreferencedPeriodicFrequentPattern.basic package", "PAMI.fuzzyPartialPeriodicPatterns package", "PAMI.fuzzyPartialPeriodicPatterns.basic package", "PAMI.fuzzyPeriodicFrequentPattern package", "PAMI.fuzzyPeriodicFrequentPattern.basic package", "PAMI.geoReferencedPeriodicFrequentPattern package", "PAMI.geoReferencedPeriodicFrequentPattern.basic package", "PAMI.georeferencedFrequentPattern package", "PAMI.georeferencedFrequentPattern.basic package", "PAMI.georeferencedFrequentSequencePattern package", "PAMI.georeferencedPartialPeriodicPattern package", "PAMI.georeferencedPartialPeriodicPattern.basic package", "PAMI.highUtilityFrequentPattern package", "PAMI.highUtilityFrequentPattern.basic package", "PAMI.highUtilityGeoreferencedFrequentPattern package", "PAMI.highUtilityGeoreferencedFrequentPattern.basic package", "PAMI.highUtilityPattern package", "PAMI.highUtilityPattern.basic package", "PAMI.highUtilityPattern.parallel package", "PAMI.highUtilityPatternsInStreams package", "PAMI.highUtilitySpatialPattern package", "PAMI.highUtilitySpatialPattern.basic package", "PAMI.highUtilitySpatialPattern.topk package", "PAMI.localPeriodicPattern package", "PAMI.localPeriodicPattern.basic package", "PAMI.multipleMinimumSupportBasedFrequentPattern package", "PAMI.multipleMinimumSupportBasedFrequentPattern.basic package", "PAMI.partialPeriodicFrequentPattern package", "PAMI.partialPeriodicFrequentPattern.basic package", "PAMI.partialPeriodicPattern package", "PAMI.partialPeriodicPattern.basic package", "PAMI.partialPeriodicPattern.closed package", "PAMI.partialPeriodicPattern.maximal package", "PAMI.partialPeriodicPattern.pyspark package", "PAMI.partialPeriodicPattern.topk package", "PAMI.partialPeriodicPatternInMultipleTimeSeries package", "PAMI.periodicCorrelatedPattern package", "PAMI.periodicCorrelatedPattern.basic package", "PAMI.periodicFrequentPattern package", "PAMI.periodicFrequentPattern.basic package", "PAMI.periodicFrequentPattern.closed package", "PAMI.periodicFrequentPattern.cuda package", "PAMI.periodicFrequentPattern.maximal package", "PAMI.periodicFrequentPattern.pyspark package", "PAMI.periodicFrequentPattern.topk package", "PAMI.periodicFrequentPattern.topk.TopkPFP package", "PAMI.periodicFrequentPattern.topk.kPFPMiner package", "PAMI.recurringPattern package", "PAMI.recurringPattern.basic package", "PAMI.relativeFrequentPattern package", "PAMI.relativeFrequentPattern.basic package", "PAMI.relativeHighUtilityPattern package", "PAMI.relativeHighUtilityPattern.basic package", "PAMI.sequence package", "PAMI.sequentialPatternMining package", "PAMI.sequentialPatternMining.basic package", "PAMI.sequentialPatternMining.closed package", "PAMI.stablePeriodicFrequentPattern package", "PAMI.stablePeriodicFrequentPattern.basic package", "PAMI.stablePeriodicFrequentPattern.topK package", "PAMI.subgraphMining package", "PAMI.subgraphMining.basic package", "PAMI.subgraphMining.topK package", "PAMI.uncertainFaultTolerantFrequentPattern package", "PAMI.uncertainFrequentPattern package", "PAMI.uncertainFrequentPattern.basic package", "PAMI.uncertainGeoreferencedFrequentPattern package", "PAMI.uncertainGeoreferencedFrequentPattern.basic package", "PAMI.uncertainPeriodicFrequentPattern package", "PAMI.uncertainPeriodicFrequentPattern.basic package", "PAMI.weightedFrequentNeighbourhoodPattern package", "PAMI.weightedFrequentNeighbourhoodPattern.basic package", "PAMI.weightedFrequentPattern package", "PAMI.weightedFrequentPattern.basic package", "PAMI.weightedFrequentRegularPattern package", "PAMI.weightedFrequentRegularPattern.basic package", "PAMI.weightedUncertainFrequentPattern package", "PAMI.weightedUncertainFrequentPattern.basic package", "Partial Periodic Frequent Pattern Mining", "Partial Periodic Pattern Mining", "Periodic correlated pattern mining", "Periodic Frequent Pattern Mining", "Recurring Pattern Mining", "Relative High-Utility Pattern Mining", "Sequential Frequent Pattern mining", "Stable Periodic Pattern Mining", "Uncertain Frequent Pattern mining", "Uncertain Geo-Referenced Frequent Pattern mining", "Uncertain Periodic Frequent Pattern mining", "Weighted Frequent Neighbourhood Pattern Mining", "Weighted Frequent Pattern Mining", "Weighted Frequent Regular Pattern Mining", "<no title>", "Contiguous Patterns", "CoMine", "CoMinePlus", "Basic", "CMine", "CPPG", "Basic", "FTApriori", "FTFPGrowth", "Basic", "Frequent Pattern mining", "Apriori", "Aprioribitset", "ECLAT", "ECLATDiffset", "ECLATbitset", "FPGrowth", "cuApriori", "cuAprioriBit", "cudaAprioriGCT", "cudaAprioriTID", "cuEclat", "cuEclatBit", "cudaEclatGCT", "MaxFPGrowth", "Basic", "parallelApriori", "parallelECLAT", "parallelFPGrowth", "FAE", "Basic", "CHARM", "Basic", "FCPGrowth", "Basic", "FFIMiner", "Basic", "Basic", "FFSPMiner", "FGPFPMiner", "Fuzzy Pattern Mining", "Basic", "FPFPMiner", "Basic", "<no title>", "Basic", "Geo-referenced Pattern Mining", "Basic", "GPFPMiner", "FSPGrowth", "SpatialECLAT", "STEclat", "HUFIM", "Basic", "Basic", "SHUFIM", "EFIM", "HMiner", "UPGrowth", "Basic", "HDSHUIM", "SHUIM", "Basic", "TKSHUIM", "Welcome to PAMI\u2019s documentation!", "Basic", "LPPGrowth", "LPPMBreadth", "LPPMDepth", "PAMI", "CFPGrowth", "CFPGrowthPlus", "Basic", "Multiple Timeseries", "Basic", "GPFgrowth", "PPF_DFS", "PPGrowth", "Basic", "GThreePGrowth", "PPPGrowth", "PPP_ECLAT", "PPPClose", "Max3PGrowth", "k3PMiner", "Basic", "EPCPGrowth", "Basic", "PFECLAT", "PFPGrowth", "PFPGrowthPlus", "PFPMC", "PSGrowth", "CPFPMiner", "MaxPFGrowth", "TopkPFP", "kPFPMiner", "Basic", "RPGrowth", "Relative Frequent Pattern", "Basic", "RSFPGrowth", "RHUIM", "Basic", "Basic", "Sequential Database", "SPADE", "SPAM", "prefixSpan", "bide", "SPPEclat", "SPPGrowth", "TSPIN", "Basic", "Temporal Database", "Transactional Database", "CUFPTree", "PUFGrowth", "TUFP", "TubeP", "TubeS", "UFGrowth", "UVECLAT", "Basic", "Basic", "GFPGrowth", "Uncertain Database", "UPFPGrowth", "UPFPGrowthPlus", "Basic", "Utility Pattern mining", "SWFPGrowth", "Basic", "WFIM", "Basic", "WFRIMiner", "Basic"], "terms": {"ar": [1, 2, 6, 7, 8, 9, 11, 14, 15, 18, 46, 54, 56, 58, 62, 71, 73, 75, 79, 80, 82, 88, 90, 91, 97, 100, 110, 116, 119, 120, 123, 125, 127, 135, 136, 138, 142, 147, 148, 149, 154, 157, 182, 185, 186, 187, 188, 189, 190, 191, 192, 193, 195, 197, 203, 204, 205, 206, 207, 212, 214, 216, 217, 218, 219, 224, 225, 230, 231, 232, 234, 236, 239, 241, 242, 243, 245, 253, 255, 256, 261, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 283, 285, 287], "specif": [1, 13, 119, 120, 136, 138, 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199, 201, 202, 203, 206, 215, 256, 275, 276, 277, 281], "spatial": [3, 7, 8, 10, 11, 12, 13, 15, 52, 54, 56, 58, 60, 62, 66, 69, 73, 75, 79, 80, 129, 147, 160, 184, 186, 187, 188, 189, 190, 191, 193, 194, 195, 196, 197, 198, 201, 202, 205, 206, 209, 211, 212, 213, 214, 215, 277, 281, 282, 283], "remot": [3, 160], "sens": [3, 160], "imag": [3, 160], "weather": [3, 160], "forecast": [3, 5, 18, 139, 140, 146, 160, 183, 216, 238, 248, 280], "refer": [4, 7, 9, 24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 121, 123, 125, 127, 129, 131, 133, 135, 140, 145, 147, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 181, 182, 184, 186, 187, 189, 190, 192, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 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271, 273], "cufptre": [20, 122, 274], "pufgrowth": [20, 122, 274], "tufp": [20, 122, 270, 274], "tubep": [20, 122, 274], "tube": [20, 122, 274], "ufgrowth": [20, 122, 274], "uveclat": [20, 122, 274], "uncertaingeoreferencedfrequentpattern": [20, 220, 276], "gfpgrowth": [20, 124, 275], "uncertainperiodicfrequentpattern": [20, 220, 278, 279], "upfpgrowth": [20, 126, 280], "upfpgrowthplu": [20, 126, 280], "weightedfrequentneighbourhoodpattern": [20, 220, 282], "swfpgrowth": [20, 128, 283], "weightedfrequentpattern": [20, 220, 284], "wfim": [20, 130, 285], "weightedfrequentregularpattern": [20, 220, 286], "wfrimin": [20, 132, 287], "weighteduncertainfrequentpattern": [20, 220], "wufim": [20, 134], "pattern": [20, 24, 26, 27, 28, 29, 31, 33, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 150, 152, 153, 154, 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214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "union": [24, 28, 30, 39, 43, 62, 71, 82, 88, 100, 101, 108, 129, 152, 153, 159, 193, 203, 218, 219, 230, 245, 252, 282], "str": [24, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "datafram": [24, 26, 27, 28, 29, 30, 32, 33, 35, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "minsup": [24, 26, 33, 43, 45, 46, 48, 49, 52, 54, 56, 58, 60, 62, 64, 66, 71, 73, 75, 79, 84, 86, 93, 95, 97, 98, 100, 101, 103, 108, 110, 116, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 139, 152, 153, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 182, 184, 186, 189, 190, 193, 199, 201, 203, 206, 208, 211, 212, 221, 222, 226, 227, 228, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 252, 253, 261, 262, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "int": [24, 26, 27, 28, 29, 30, 32, 33, 35, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "float": [24, 26, 27, 28, 30, 32, 35, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "minallconf": [24, 52, 95, 152, 153, 184, 237], "sep": [24, 26, 27, 29, 30, 31, 32, 35, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 197, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 224, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 256, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "t": [24, 26, 27, 30, 31, 32, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 191, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "sourc": [24, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 39, 40, 41, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "_correlatedpattern": [24, 152, 153], "about": [24, 26, 30, 39, 45, 46, 50, 86, 97, 119, 152, 153, 155, 162, 163, 164, 165, 166, 167, 180, 182, 226, 239, 240], "algorithm": [24, 26, 33, 43, 45, 46, 48, 49, 50, 52, 54, 60, 64, 66, 69, 71, 75, 76, 78, 79, 80, 82, 84, 86, 89, 90, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 199, 201, 202, 203, 207, 208, 209, 211, 212, 217, 218, 219, 221, 222, 226, 227, 228, 233, 234, 235, 237, 239, 240, 241, 243, 244, 245, 246, 247, 249, 252, 253, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 279, 282, 284, 286], "descript": [24, 26, 27, 28, 29, 30, 31, 32, 33, 35, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 281, 282, 284, 286], "fundament": [24, 43, 45, 48, 49, 69, 84, 88, 91, 93, 97, 100, 101, 106, 121, 123, 131, 133, 152, 153, 158, 159, 162, 163, 164, 166, 167, 175, 179, 202, 221, 228, 230, 231, 232, 239, 240, 241, 242, 243, 245, 249, 267, 268, 269, 270, 273, 284, 286], "correl": [24, 52, 86, 95, 152, 153, 154, 183, 184, 191, 215, 226, 236, 237, 265, 266], "fp": [24, 28, 43, 45, 49, 131, 152, 153, 159, 167, 179, 284], "growth": [24, 48, 49, 75, 82, 90, 97, 100, 127, 152, 153, 175, 179, 209, 217, 234, 243, 245, 279], "depth": [24, 46, 82, 89, 98, 119, 152, 153, 182, 217, 218, 219, 233, 244], "first": [24, 45, 46, 49, 75, 80, 82, 89, 98, 110, 119, 120, 152, 153, 162, 179, 182, 207, 214, 217, 218, 219, 224, 233, 244, 253, 265, 277], "search": [24, 43, 45, 46, 49, 54, 56, 58, 62, 75, 76, 82, 84, 89, 98, 119, 121, 131, 133, 152, 153, 158, 159, 162, 167, 177, 178, 179, 182, 186, 189, 190, 193, 215, 217, 218, 219, 222, 233, 244, 284, 286], "lee": [24, 97, 127, 152, 153, 240, 278], "y": [24, 33, 43, 45, 71, 97, 104, 116, 117, 119, 120, 152, 153, 159, 167, 203, 239, 247, 262, 263], "kim": [24, 152, 153], "w": [24, 79, 116, 127, 152, 153, 212, 261, 278], "cao": [24, 152, 153], "d": [24, 152, 153, 256, 265, 266], "han": [24, 43, 45, 84, 152, 153, 158, 159, 167, 221], "j": [24, 43, 45, 46, 48, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 91, 97, 110, 116, 119, 120, 123, 127, 131, 152, 153, 159, 167, 175, 182, 203, 206, 207, 212, 214, 217, 218, 219, 221, 226, 232, 233, 241, 253, 261, 267, 278, 284], "2003": [24, 45, 152, 153, 165], "icdm": [24, 123, 152, 153, 271], "pp": [24, 45, 49, 56, 62, 69, 79, 80, 93, 97, 110, 116, 129, 131, 133, 152, 153, 162, 177, 189, 193, 202, 211, 214, 228, 243, 253, 261, 282, 284, 286], "581": [24, 152, 153], "584": [24, 152, 153], "paramet": [24, 26, 27, 28, 29, 31, 32, 33, 35, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "name": [24, 26, 27, 28, 29, 30, 31, 32, 33, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 282, 284, 286], "input": [24, 26, 27, 29, 30, 31, 32, 33, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "file": [24, 26, 27, 28, 29, 30, 31, 32, 33, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 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284, 286], "ofil": [24, 26, 27, 28, 29, 30, 31, 35, 37, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "output": [24, 26, 27, 28, 29, 30, 31, 32, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 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270, 271, 273, 276, 278, 279, 282, 284, 286], "default": [24, 26, 27, 29, 30, 31, 37, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 224, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "seper": [24, 26, 27, 29, 31, 32, 37, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 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265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "overrid": [24, 26, 27, 29, 31, 37, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "separ": [24, 26, 27, 29, 30, 31, 37, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 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253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "consum": [24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "memoryrss": [24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "rss": [24, 26, 28, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "starttim": [24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "start": [24, 26, 33, 43, 45, 46, 48, 49, 50, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 224, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 265, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "endtim": [24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "given": [24, 27, 28, 29, 32, 33, 40, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 86, 90, 108, 110, 119, 120, 152, 153, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 226, 234, 250, 251, 252, 253], "minimum": [24, 26, 27, 29, 30, 39, 43, 50, 54, 56, 58, 60, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 97, 98, 100, 101, 106, 108, 110, 116, 119, 120, 121, 123, 125, 127, 129, 131, 135, 139, 152, 153, 155, 156, 158, 180, 181, 186, 189, 190, 206, 209, 211, 212, 214, 215, 217, 218, 219, 221, 222, 230, 231, 232, 233, 234, 235, 238, 241, 242, 243, 244, 245, 249, 252, 253, 261, 262, 266, 267, 276, 278, 279, 282, 284], "ratio": [24, 52, 86, 136, 152, 153, 184, 225, 227], "should": [24, 52, 119, 152, 153, 184], "list": [24, 26, 27, 28, 30, 32, 35, 39, 40, 43, 45, 46, 48, 49, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 88, 90, 91, 92, 93, 95, 97, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 179, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 221, 222, 228, 230, 231, 232, 234, 235, 237, 239, 240, 241, 242, 243, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "mapsupport": [24, 43, 45, 46, 48, 84, 86, 88, 90, 91, 93, 95, 97, 100, 101, 106, 108, 116, 117, 123, 125, 127, 129, 131, 133, 135, 152, 153, 159, 167, 175, 182, 221, 222, 227, 228, 230, 231, 232, 234, 237, 239, 240, 241, 242, 243, 245, 249, 252, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "dictionari": [24, 26, 27, 30, 31, 39, 43, 45, 46, 48, 49, 50, 54, 64, 66, 69, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 186, 199, 201, 202, 206, 212, 214, 217, 221, 222, 226, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "maintain": [24, 43, 45, 46, 48, 49, 82, 84, 86, 88, 90, 91, 93, 95, 97, 100, 101, 106, 108, 116, 117, 123, 125, 127, 129, 131, 133, 135, 152, 153, 159, 167, 175, 179, 182, 217, 221, 222, 227, 228, 230, 231, 232, 234, 237, 239, 240, 241, 242, 243, 245, 249, 252, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "lno": [24, 43, 48, 49, 84, 86, 88, 90, 91, 93, 95, 97, 100, 101, 104, 106, 108, 116, 117, 123, 125, 127, 129, 131, 133, 135, 152, 153, 159, 175, 177, 178, 179, 221, 222, 227, 228, 230, 231, 232, 234, 237, 239, 240, 241, 242, 243, 245, 247, 249, 252, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 279, 282, 284, 286], "tree": [24, 43, 45, 46, 48, 49, 71, 73, 75, 79, 80, 82, 84, 88, 90, 91, 93, 95, 97, 100, 101, 106, 108, 110, 116, 117, 123, 125, 127, 129, 131, 133, 135, 152, 153, 159, 167, 175, 179, 182, 203, 206, 207, 209, 212, 214, 217, 221, 222, 228, 230, 231, 232, 234, 237, 239, 240, 241, 242, 243, 245, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "itemsetcount": [24, 46, 48, 90, 93, 95, 97, 100, 101, 106, 108, 116, 117, 123, 125, 127, 135, 152, 153, 175, 182, 228, 234, 237, 239, 240, 241, 242, 243, 245, 249, 252, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 279], "finalpattern": [24, 26, 31, 43, 45, 46, 48, 49, 50, 64, 66, 69, 78, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 199, 201, 202, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "dict": [24, 26, 27, 30, 31, 33, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "itemsetbuff": [24, 54, 56, 58, 60, 62, 108, 152, 153, 186, 189, 190, 252], "maxpatternlength": [24, 108, 152, 153, 252], "constraint": [24, 73, 79, 101, 108, 110, 116, 139, 143, 152, 153, 206, 212, 238, 252, 253, 261, 262, 264], "length": [24, 27, 30, 32, 39, 40, 43, 75, 79, 82, 108, 121, 123, 125, 127, 135, 152, 153, 158, 208, 211, 217, 218, 219, 252, 267, 268, 269, 270, 271, 273, 276, 279], "execut": [24, 30, 39, 45, 46, 50, 58, 80, 82, 86, 89, 91, 92, 97, 100, 101, 103, 106, 152, 153, 162, 163, 164, 165, 166, 167, 180, 182, 190, 217, 218, 219, 226, 233, 239, 240, 245, 246, 249], "method": [24, 26, 27, 30, 31, 32, 33, 37, 39, 40, 43, 45, 46, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 159, 162, 163, 164, 165, 166, 167, 177, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "termin": [24, 26, 45, 46, 50, 56, 86, 93, 97, 98, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 162, 163, 164, 165, 166, 167, 180, 182, 189, 226, 228, 239, 240, 244, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "command": [24, 26, 45, 46, 50, 56, 86, 93, 97, 98, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 162, 163, 164, 165, 166, 167, 180, 182, 189, 226, 228, 239, 240, 244, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "format": [24, 26, 30, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 197, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 224, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 256, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "venv": [24, 26, 30, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 91, 93, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 228, 231, 232, 233, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "python3": [24, 26, 30, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "py": [24, 26, 30, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "inputfil": [24, 26, 27, 30, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "outputfil": [24, 26, 27, 28, 30, 32, 35, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "exampl": [24, 26, 30, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 197, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 224, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 256, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "sampletdb": [24, 26, 48, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 86, 89, 90, 93, 95, 97, 98, 100, 101, 106, 110, 116, 117, 123, 125, 127, 135, 152, 153, 155, 156, 175, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 226, 228, 233, 234, 237, 241, 242, 243, 244, 245, 249, 253, 261, 262, 263, 267, 276, 278, 279], "txt": [24, 26, 30, 32, 39, 40, 43, 45, 46, 48, 49, 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52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "after": [24, 26, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "final": [24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "pd": [24, 26, 29, 32, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "calcul": [24, 26, 29, 30, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "runtim": [24, 26, 33, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "taken": [24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 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285], "printresult": [24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "result": [24, 26, 27, 30, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 106, 108, 110, 116, 117, 119, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 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245, 246, 265, 285], "current": [24, 80, 152, 153, 214, 277], "being": [24, 152, 153, 265], "_node": [24, 152, 153], "save": [24, 26, 27, 28, 29, 30, 32, 33, 35, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "outfil": [24, 26, 28, 29, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 276, 278, 279, 282, 284, 286], "an": [24, 26, 28, 29, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 62, 64, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 92, 95, 97, 98, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 139, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 197, 199, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 224, 226, 227, 230, 232, 235, 237, 238, 239, 240, 241, 242, 243, 244, 250, 251, 252, 253, 256, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "startmin": [24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 276, 278, 279, 282, 284, 286], "code": [24, 29, 35, 56, 78, 80, 86, 88, 92, 97, 101, 103, 116, 119, 120, 153, 163, 226, 227, 232, 235, 239, 240, 246, 261], "minrf": [26, 155, 156], "minc": [26, 155, 156], "maxor": [26, 155, 156], "_coveragepattern": [26, 155, 156], "coverag": [26, 155, 156, 157, 215, 266], "bhargav": [26, 155, 156], "sripada": [26, 155], "polep": [26, 155], "krishna": [26, 69, 84, 86, 88, 89, 93, 101, 129, 155, 156, 202, 222, 226, 228, 232, 233, 282], "reddi": [26, 69, 71, 84, 86, 88, 93, 97, 101, 110, 129, 155, 156, 202, 203, 222, 226, 228, 232, 243, 253, 282], "banner": [26, 155], "advertis": [26, 155], "placement": [26, 155], "www": [26, 54, 88, 89, 95, 106, 155, 186, 232, 233, 237, 249], "companion": [26, 155], "volum": [26, 86, 123, 155, 226, 267], "2011": [26, 84, 123, 155, 222, 267, 273], "131": [26, 155], "132": [26, 155], "__http": [26, 155], "dl": [26, 92, 155, 235], "acm": [26, 45, 49, 75, 92, 123, 155, 165, 179, 209, 235, 273], "org": [26, 43, 45, 46, 50, 75, 76, 84, 86, 88, 90, 91, 92, 97, 98, 100, 104, 116, 117, 121, 123, 125, 127, 131, 155, 159, 162, 163, 164, 165, 166, 167, 180, 182, 207, 209, 221, 222, 226, 230, 231, 234, 235, 240, 241, 243, 244, 245, 247, 262, 263, 267, 269, 270, 271, 273, 276, 278, 279, 284], "doi": [26, 43, 45, 46, 49, 50, 52, 56, 62, 69, 71, 75, 76, 79, 80, 82, 84, 86, 88, 91, 92, 93, 97, 104, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 155, 159, 162, 165, 167, 177, 180, 182, 184, 189, 193, 202, 203, 207, 209, 211, 214, 217, 218, 219, 221, 222, 226, 228, 230, 231, 235, 240, 241, 243, 247, 253, 262, 263, 267, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "10": [26, 27, 37, 40, 43, 45, 46, 49, 50, 52, 54, 56, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 177, 178, 179, 180, 182, 184, 186, 189, 191, 193, 197, 199, 201, 202, 203, 206, 207, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 281, 282, 284, 286], "1145": [26, 45, 75, 84, 88, 91, 123, 155, 162, 165, 209, 222, 230, 231, 273], "1963192": [26, 155], "1963259": [26, 155], "everi": [26, 78, 80, 82, 86, 92, 97, 98, 100, 101, 108, 155, 156, 217, 241, 242, 243, 244, 245, 252, 265, 277, 281], "must": [26, 78, 80, 86, 92, 97, 98, 100, 101, 108, 110, 155, 156, 191, 224, 241, 242, 243, 244, 245, 252, 253, 265, 266, 277, 281], "least": [26, 108, 155, 156, 252], "maximum": [26, 30, 32, 39, 40, 62, 71, 73, 75, 76, 79, 80, 82, 86, 90, 97, 98, 100, 101, 103, 106, 110, 116, 117, 127, 129, 139, 155, 156, 193, 203, 206, 207, 209, 211, 212, 214, 217, 218, 219, 226, 227, 234, 238, 239, 240, 241, 242, 243, 244, 245, 246, 249, 253, 261, 262, 263, 278, 279, 282], "two": [26, 40, 71, 73, 75, 79, 80, 82, 86, 97, 98, 100, 101, 103, 110, 120, 155, 156, 203, 206, 207, 209, 212, 214, 217, 218, 219, 224, 226, 227, 239, 240, 241, 242, 243, 244, 245, 246, 253, 265, 277], "reappear": [26, 82, 86, 97, 98, 100, 101, 103, 155, 156, 217, 218, 219, 226, 227, 239, 240, 241, 242, 243, 244, 245, 246], "4": [26, 52, 58, 69, 82, 88, 89, 90, 93, 95, 97, 98, 100, 101, 106, 116, 117, 123, 127, 131, 155, 156, 184, 190, 191, 197, 202, 217, 218, 219, 224, 228, 232, 233, 234, 237, 241, 242, 243, 244, 245, 249, 261, 262, 263, 265, 267, 277, 278, 279, 281, 284], "7": [26, 86, 155, 156, 191, 226, 265, 277, 281], "5": [26, 40, 64, 66, 69, 82, 86, 91, 97, 101, 116, 123, 133, 155, 156, 191, 197, 199, 201, 202, 217, 218, 219, 224, 227, 242, 261, 269, 270, 277, 281, 286], "p": [26, 40, 43, 45, 46, 48, 50, 52, 56, 64, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 92, 93, 95, 97, 98, 100, 101, 103, 104, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 155, 156, 158, 159, 162, 167, 175, 180, 182, 184, 189, 199, 202, 203, 206, 207, 211, 212, 214, 217, 218, 219, 221, 222, 226, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "likhitha": [26, 40, 43, 45, 46, 48, 50, 60, 69, 84, 88, 89, 90, 92, 93, 95, 97, 98, 100, 103, 104, 116, 117, 121, 123, 125, 127, 129, 131, 133, 155, 156, 158, 159, 162, 167, 175, 180, 182, 202, 221, 222, 228, 230, 231, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "creatingcoverageitem": [26, 155], "creat": [26, 28, 29, 32, 35, 37, 40, 49, 75, 79, 80, 82, 119, 120, 155, 179, 191, 197, 208, 211, 214, 217, 218, 219, 224, 256, 265, 266, 277, 281], "_databas": [26, 155], "coveragetiddata": [26, 155], "tid": [26, 32, 40, 52, 54, 56, 58, 60, 62, 82, 86, 91, 101, 104, 155, 184, 186, 189, 190, 191, 193, 197, 217, 227, 247, 265, 266, 277, 281], "genpattern": [26, 155], "prefix": [26, 46, 49, 52, 54, 56, 58, 60, 62, 75, 79, 80, 82, 86, 88, 91, 97, 108, 116, 155, 179, 182, 184, 186, 189, 190, 193, 208, 211, 214, 217, 227, 232, 239, 242, 252, 261], "tiddata": [26, 155], "gener": [26, 32, 40, 43, 45, 46, 49, 52, 54, 56, 58, 60, 62, 64, 66, 69, 75, 78, 79, 80, 82, 86, 88, 91, 92, 97, 103, 104, 116, 119, 127, 155, 159, 167, 179, 182, 184, 186, 189, 190, 191, 193, 199, 201, 202, 209, 211, 217, 218, 219, 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\ No newline at end of file
+Search.setIndex({"docnames": ["ContiguousFrequentPatterns1", "CorrelatedPatternMining1", "CoveragePatternMining1", "FaultTolerantPatternMining1", "FrequentPatternWithMultipleMinimumSupport1", "FuzzyCorrelatedPatternMining1", "FuzzyFrequentPatternMining1", "FuzzyGeoReferencedFrequentPatternMining1", "FuzzyGeoReferencedPeriodicFrequentPatternMining1", "FuzzyPeriodicFrequentPatternMining1", "GeoReferencedFrequentPatternMining1", "GeoReferencedFrequentSequencePatternMining1", "GeoReferencedPartialPeriodicPatternMining1", "GeoReferencedPeriodicFrequentPatternMining1", "HighUtilityFrequentPatternMining1", "HighUtilityGeo-referencedFrequentPatternMining1", "HighUtilityPatternMining1", "HighUtilitySpatialPatternMining1", "LocalPeriodicPatternMining1", "MultiplePartialPeriodicPatternMining1", "PAMI", "PAMI.AssociationRules", "PAMI.AssociationRules.basic", "PAMI.correlatedPattern", "PAMI.correlatedPattern.basic", "PAMI.coveragePattern", "PAMI.coveragePattern.basic", "PAMI.extras", "PAMI.extras.DF2DB", "PAMI.extras.calculateMISValues", "PAMI.extras.dbStats", "PAMI.extras.fuzzyTransformation", "PAMI.extras.generateDatabase", "PAMI.extras.graph", "PAMI.extras.image2Database", "PAMI.extras.imageProcessing", "PAMI.extras.messaging", "PAMI.extras.neighbours", "PAMI.extras.sampleDatasets", "PAMI.extras.stats", "PAMI.extras.syntheticDataGenerator", "PAMI.extras.visualize", "PAMI.faultTolerantFrequentPattern", "PAMI.faultTolerantFrequentPattern.basic", "PAMI.frequentPattern", "PAMI.frequentPattern.basic", "PAMI.frequentPattern.closed", "PAMI.frequentPattern.cuda", "PAMI.frequentPattern.maximal", "PAMI.frequentPattern.pyspark", "PAMI.frequentPattern.topk", "PAMI.fuzzyCorrelatedPattern", "PAMI.fuzzyCorrelatedPattern.basic", "PAMI.fuzzyFrequentPattern", "PAMI.fuzzyFrequentPattern.basic", "PAMI.fuzzyGeoreferencedFrequentPattern", "PAMI.fuzzyGeoreferencedFrequentPattern.basic", "PAMI.fuzzyGeoreferencedPeriodicFrequentPattern", "PAMI.fuzzyGeoreferencedPeriodicFrequentPattern.basic", "PAMI.fuzzyPartialPeriodicPatterns", "PAMI.fuzzyPartialPeriodicPatterns.basic", "PAMI.fuzzyPeriodicFrequentPattern", "PAMI.fuzzyPeriodicFrequentPattern.basic", "PAMI.geoReferencedPeriodicFrequentPattern", "PAMI.geoReferencedPeriodicFrequentPattern.basic", "PAMI.georeferencedFrequentPattern", "PAMI.georeferencedFrequentPattern.basic", "PAMI.georeferencedFrequentSequencePattern", "PAMI.georeferencedPartialPeriodicPattern", "PAMI.georeferencedPartialPeriodicPattern.basic", "PAMI.highUtilityFrequentPattern", "PAMI.highUtilityFrequentPattern.basic", "PAMI.highUtilityGeoreferencedFrequentPattern", "PAMI.highUtilityGeoreferencedFrequentPattern.basic", "PAMI.highUtilityPattern", "PAMI.highUtilityPattern.basic", "PAMI.highUtilityPattern.parallel", "PAMI.highUtilityPatternsInStreams", "PAMI.highUtilitySpatialPattern", "PAMI.highUtilitySpatialPattern.basic", "PAMI.highUtilitySpatialPattern.topk", "PAMI.localPeriodicPattern", "PAMI.localPeriodicPattern.basic", "PAMI.multipleMinimumSupportBasedFrequentPattern", "PAMI.multipleMinimumSupportBasedFrequentPattern.basic", "PAMI.partialPeriodicFrequentPattern", "PAMI.partialPeriodicFrequentPattern.basic", "PAMI.partialPeriodicPattern", "PAMI.partialPeriodicPattern.basic", "PAMI.partialPeriodicPattern.closed", "PAMI.partialPeriodicPattern.maximal", "PAMI.partialPeriodicPattern.pyspark", "PAMI.partialPeriodicPattern.topk", "PAMI.partialPeriodicPatternInMultipleTimeSeries", "PAMI.periodicCorrelatedPattern", "PAMI.periodicCorrelatedPattern.basic", "PAMI.periodicFrequentPattern", "PAMI.periodicFrequentPattern.basic", "PAMI.periodicFrequentPattern.closed", "PAMI.periodicFrequentPattern.cuda", "PAMI.periodicFrequentPattern.maximal", "PAMI.periodicFrequentPattern.pyspark", "PAMI.periodicFrequentPattern.topk", "PAMI.periodicFrequentPattern.topk.TopkPFP", "PAMI.periodicFrequentPattern.topk.kPFPMiner", "PAMI.recurringPattern", "PAMI.recurringPattern.basic", "PAMI.relativeFrequentPattern", "PAMI.relativeFrequentPattern.basic", "PAMI.relativeHighUtilityPattern", "PAMI.relativeHighUtilityPattern.basic", "PAMI.sequence", "PAMI.sequentialPatternMining", "PAMI.sequentialPatternMining.basic", "PAMI.sequentialPatternMining.closed", "PAMI.stablePeriodicFrequentPattern", "PAMI.stablePeriodicFrequentPattern.basic", "PAMI.stablePeriodicFrequentPattern.topK", "PAMI.subgraphMining", "PAMI.subgraphMining.basic", "PAMI.subgraphMining.topK", "PAMI.uncertainFaultTolerantFrequentPattern", "PAMI.uncertainFrequentPattern", "PAMI.uncertainFrequentPattern.basic", "PAMI.uncertainGeoreferencedFrequentPattern", "PAMI.uncertainGeoreferencedFrequentPattern.basic", "PAMI.uncertainPeriodicFrequentPattern", "PAMI.uncertainPeriodicFrequentPattern.basic", "PAMI.weightedFrequentNeighbourhoodPattern", "PAMI.weightedFrequentNeighbourhoodPattern.basic", "PAMI.weightedFrequentPattern", "PAMI.weightedFrequentPattern.basic", "PAMI.weightedFrequentRegularPattern", "PAMI.weightedFrequentRegularPattern.basic", "PAMI.weightedUncertainFrequentPattern", "PAMI.weightedUncertainFrequentPattern.basic", "PartialPeriodicFrequentPatternMining1", "PartialPeriodicPatternMining1", "PeriodicCorrelatedPatternMining1", "PeriodicFrequentPatternMining1", "RecurringPatternMining1", "RelativeHighUtilityPatternMining1", "SequentialFrequentPatternMining1", "StablePeriodicPatternMining1", "UncertainFrequentPatternMining1", "UncertainGeoReferencedFrequentPatternMining1", "UncertainPeriodicFrequentPatternMining1", "WeightedFrequentNeighbourhoodPatternMining1", "WeightedFrequentPatternMining1", "WeightedFrequentRegularPatternMining1", "contiguousFrequentPatterns", "contiguousPatternMining", "correlatedPatternBasicCoMine", "correlatedPatternBasicCoMinePlus", "correlatedPatternMining", "coveragePatternBasicCMine", "coveragePatternBasicCPPG", "coveragePatternMining", "faultTolerantFrequentPatternBasicFTApriori", "faultTolerantFrequentPatternBasicFTFPGrowth", 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"stablePeriodicFrequentPatterntopKTSPIN.rst", "stablePeriodicPatternMining.rst", "temporalPatternMining.rst", "transactionalPatternMining.rst", "uncertainFrequentPatternBasicCUFPTree.rst", "uncertainFrequentPatternBasicPUFGrowth.rst", "uncertainFrequentPatternBasicTUFP.rst", "uncertainFrequentPatternBasicTubeP.rst", "uncertainFrequentPatternBasicTubeS.rst", "uncertainFrequentPatternBasicUFGrowth.rst", "uncertainFrequentPatternBasicUVECLAT.rst", "uncertainFrequentPatternMining.rst", "uncertainGeoReferencedFrequentPatternMining.rst", "uncertainGeoreferencedFrequentPatternBasicGFPGrowth.rst", "uncertainPatternMining.rst", "uncertainPeriodicFrequentPatternBasicUPFPGrowth.rst", "uncertainPeriodicFrequentPatternBasicUPFPGrowthPlus.rst", "uncertainPeriodicFrequentPatternMining.rst", "utilityPatternMining.rst", "weightedFrequentNeighbourhoodPatternBasicSWFPGrowth.rst", "weightedFrequentNeighbourhoodPatternMining.rst", "weightedFrequentPatternBasicWFIM.rst", "weightedFrequentPatternMining.rst", "weightedFrequentRegularPatternBasicWFRIMiner.rst", "weightedFrequentRegularPatternMining.rst"], "titles": ["Contiguous Frequent Patterns", "Correlated Pattern Mining", "Coverage Pattern Mining", "Fault-Tolerant Frequent Pattern Mining", "Frequent pattern With Multiple Minimum Support", "Fuzzy Correlated Pattern Mining", "Fuzzy Frequent Pattern Mining", "Fuzzy Geo-referenced Frequent Pattern Mining", "Fuzzy Geo-referenced Periodic Frequent Pattern Mining", "Fuzzy Periodic Frequent Pattern Mining", "Geo-referenced Frequent Pattern Mining", "Geo-referenced Frequent Sequence Pattern mining", "Geo-referenced Partial Periodic Pattern Mining", "Geo-referenced Periodic Frequent Pattern Mining", "High-Utility Frequent Pattern Mining", "High-Utility Geo-referenced Frequent Pattern Mining", "High-Utility Pattern mining", "High-Utility Spatial Pattern Mining", "Local Periodic Pattern Mining", "Multiple Partial Periodic Pattern Mining", "PAMI package", "PAMI.AssociationRules package", "PAMI.AssociationRules.basic package", "PAMI.correlatedPattern package", "PAMI.correlatedPattern.basic package", "PAMI.coveragePattern package", "PAMI.coveragePattern.basic package", "PAMI.extras package", "PAMI.extras.DF2DB package", "PAMI.extras.calculateMISValues package", "PAMI.extras.dbStats package", "PAMI.extras.fuzzyTransformation package", "PAMI.extras.generateDatabase package", "PAMI.extras.graph package", "PAMI.extras.image2Database package", "PAMI.extras.imageProcessing package", "PAMI.extras.messaging package", "PAMI.extras.neighbours package", "PAMI.extras.sampleDatasets package", "PAMI.extras.stats package", "PAMI.extras.syntheticDataGenerator package", "PAMI.extras.visualize package", "PAMI.faultTolerantFrequentPattern package", "PAMI.faultTolerantFrequentPattern.basic package", "PAMI.frequentPattern package", "PAMI.frequentPattern.basic package", "PAMI.frequentPattern.closed package", "PAMI.frequentPattern.cuda package", "PAMI.frequentPattern.maximal package", "PAMI.frequentPattern.pyspark package", "PAMI.frequentPattern.topk package", "PAMI.fuzzyCorrelatedPattern package", "PAMI.fuzzyCorrelatedPattern.basic package", "PAMI.fuzzyFrequentPattern package", "PAMI.fuzzyFrequentPattern.basic package", "PAMI.fuzzyGeoreferencedFrequentPattern package", "PAMI.fuzzyGeoreferencedFrequentPattern.basic package", "PAMI.fuzzyGeoreferencedPeriodicFrequentPattern package", "PAMI.fuzzyGeoreferencedPeriodicFrequentPattern.basic package", "PAMI.fuzzyPartialPeriodicPatterns package", "PAMI.fuzzyPartialPeriodicPatterns.basic package", "PAMI.fuzzyPeriodicFrequentPattern package", "PAMI.fuzzyPeriodicFrequentPattern.basic package", "PAMI.geoReferencedPeriodicFrequentPattern package", "PAMI.geoReferencedPeriodicFrequentPattern.basic package", "PAMI.georeferencedFrequentPattern package", "PAMI.georeferencedFrequentPattern.basic package", "PAMI.georeferencedFrequentSequencePattern package", "PAMI.georeferencedPartialPeriodicPattern package", "PAMI.georeferencedPartialPeriodicPattern.basic package", "PAMI.highUtilityFrequentPattern package", "PAMI.highUtilityFrequentPattern.basic package", "PAMI.highUtilityGeoreferencedFrequentPattern package", "PAMI.highUtilityGeoreferencedFrequentPattern.basic package", "PAMI.highUtilityPattern package", "PAMI.highUtilityPattern.basic package", "PAMI.highUtilityPattern.parallel package", "PAMI.highUtilityPatternsInStreams package", "PAMI.highUtilitySpatialPattern package", "PAMI.highUtilitySpatialPattern.basic package", "PAMI.highUtilitySpatialPattern.topk package", "PAMI.localPeriodicPattern package", "PAMI.localPeriodicPattern.basic package", "PAMI.multipleMinimumSupportBasedFrequentPattern package", "PAMI.multipleMinimumSupportBasedFrequentPattern.basic package", "PAMI.partialPeriodicFrequentPattern package", "PAMI.partialPeriodicFrequentPattern.basic package", "PAMI.partialPeriodicPattern package", "PAMI.partialPeriodicPattern.basic package", "PAMI.partialPeriodicPattern.closed package", "PAMI.partialPeriodicPattern.maximal package", "PAMI.partialPeriodicPattern.pyspark package", "PAMI.partialPeriodicPattern.topk package", "PAMI.partialPeriodicPatternInMultipleTimeSeries package", "PAMI.periodicCorrelatedPattern package", "PAMI.periodicCorrelatedPattern.basic package", "PAMI.periodicFrequentPattern package", "PAMI.periodicFrequentPattern.basic package", "PAMI.periodicFrequentPattern.closed package", "PAMI.periodicFrequentPattern.cuda package", "PAMI.periodicFrequentPattern.maximal package", "PAMI.periodicFrequentPattern.pyspark package", "PAMI.periodicFrequentPattern.topk package", "PAMI.periodicFrequentPattern.topk.TopkPFP package", "PAMI.periodicFrequentPattern.topk.kPFPMiner package", "PAMI.recurringPattern package", "PAMI.recurringPattern.basic package", "PAMI.relativeFrequentPattern package", "PAMI.relativeFrequentPattern.basic package", "PAMI.relativeHighUtilityPattern package", "PAMI.relativeHighUtilityPattern.basic package", "PAMI.sequence package", "PAMI.sequentialPatternMining package", "PAMI.sequentialPatternMining.basic package", "PAMI.sequentialPatternMining.closed package", "PAMI.stablePeriodicFrequentPattern package", "PAMI.stablePeriodicFrequentPattern.basic package", "PAMI.stablePeriodicFrequentPattern.topK package", "PAMI.subgraphMining package", "PAMI.subgraphMining.basic package", "PAMI.subgraphMining.topK package", "PAMI.uncertainFaultTolerantFrequentPattern package", "PAMI.uncertainFrequentPattern package", "PAMI.uncertainFrequentPattern.basic package", "PAMI.uncertainGeoreferencedFrequentPattern package", "PAMI.uncertainGeoreferencedFrequentPattern.basic package", "PAMI.uncertainPeriodicFrequentPattern package", "PAMI.uncertainPeriodicFrequentPattern.basic package", "PAMI.weightedFrequentNeighbourhoodPattern package", "PAMI.weightedFrequentNeighbourhoodPattern.basic package", "PAMI.weightedFrequentPattern package", "PAMI.weightedFrequentPattern.basic package", "PAMI.weightedFrequentRegularPattern package", 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188, 192, 194, 236], "depend": [1, 32, 40, 71, 73, 75, 79, 80, 110, 154, 203, 206, 207, 212, 214, 224, 253], "between": [1, 5, 6, 7, 8, 9, 24, 30, 39, 45, 46, 56, 75, 76, 82, 86, 97, 108, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 138, 143, 152, 153, 154, 162, 163, 164, 165, 166, 167, 182, 183, 185, 187, 188, 189, 191, 192, 217, 218, 219, 226, 227, 236, 239, 240, 252, 264, 265, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 282, 284, 286], "differ": [1, 4, 18, 147, 148, 149, 154, 181, 216, 250, 251, 283, 285, 287], "set": [1, 14, 24, 26, 28, 29, 31, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 154, 155, 156, 158, 159, 161, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 197, 199, 201, 202, 203, 204, 206, 207, 208, 209, 211, 212, 214, 217, 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190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 201, 202, 203, 206, 208, 209, 211, 212, 214, 217, 218, 219, 223, 224, 226, 227, 228, 230, 231, 232, 233, 234, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 247, 248, 249, 253, 254, 255, 261, 262, 263, 264, 267, 268, 269, 270, 271, 273, 274, 275, 276, 278, 279, 280, 281, 282, 284, 286, 287], "applic": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 79, 116, 121, 123, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 154, 157, 160, 161, 181, 183, 185, 187, 188, 192, 194, 195, 196, 198, 204, 205, 210, 211, 213, 216, 223, 225, 229, 236, 238, 248, 250, 251, 254, 255, 261, 264, 267, 274, 275, 280, 281, 283, 285, 287], "fraud": [1, 14, 154, 204], "detect": [1, 14, 18, 24, 29, 43, 45, 46, 48, 49, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 82, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 106, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 137, 140, 152, 153, 154, 158, 159, 162, 163, 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3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 25, 28, 42, 44, 48, 51, 53, 55, 57, 59, 61, 63, 65, 68, 70, 72, 74, 78, 81, 83, 85, 87, 89, 91, 93, 94, 96, 98, 100, 101, 105, 107, 109, 112, 115, 117, 118, 121, 122, 124, 126, 128, 130, 132, 134, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 152, 153, 155, 156, 158, 159, 161, 162, 163, 164, 165, 166, 167, 175, 184, 186, 189, 190, 193, 197, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 237, 239, 240, 241, 242, 243, 244, 245, 249, 250, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "techniqu": [2, 3, 11, 12, 19, 24, 45, 46, 54, 56, 58, 62, 84, 137, 142, 152, 153, 157, 160, 162, 182, 186, 189, 190, 193, 195, 196, 222, 223, 229, 255], "focus": [2, 11, 12, 19, 119, 138, 139, 142, 143, 157, 195, 196, 223, 236, 238, 255, 264], "identifi": [2, 7, 12, 19, 119, 120, 139, 142, 143, 157, 161, 187, 191, 196, 223, 238, 255, 256, 264, 266, 277, 281], "cover": [2, 12, 19, 157, 196, 223], "substanti": [2, 157], "portion": [2, 157], "irrespect": [2, 157], "frequenc": [2, 5, 24, 30, 39, 43, 45, 46, 48, 84, 88, 90, 91, 93, 95, 97, 100, 101, 106, 108, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 136, 147, 149, 152, 153, 157, 158, 159, 166, 167, 175, 182, 183, 221, 222, 225, 228, 230, 231, 232, 234, 237, 239, 240, 241, 242, 243, 245, 249, 250, 251, 252, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 283, 284, 286, 287], "unlik": [2, 3, 4, 6, 18, 136, 137, 138, 139, 143, 144, 146, 157, 160, 181, 185, 216, 225, 229, 236, 238, 264, 274, 280], "tradit": [2, 3, 4, 6, 18, 24, 52, 137, 138, 139, 143, 144, 146, 152, 153, 157, 160, 181, 184, 185, 216, 229, 236, 238, 264, 274, 280], "frequent": [2, 12, 17, 26, 28, 29, 31, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 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"high": [2, 48, 52, 54, 56, 62, 71, 73, 75, 76, 79, 80, 110, 148, 157, 175, 184, 191, 193, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 253, 254, 281, 285], "emphas": [2, 157], "have": [2, 18, 49, 75, 79, 80, 82, 116, 119, 120, 144, 146, 148, 157, 179, 191, 207, 211, 212, 214, 216, 217, 218, 219, 250, 251, 256, 261, 262, 265, 274, 277, 280, 281, 285], "wide": [2, 157], "across": [2, 18, 157, 216], "consid": [2, 4, 5, 8, 18, 26, 40, 43, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 84, 97, 98, 100, 101, 106, 108, 110, 116, 117, 119, 121, 123, 125, 127, 129, 131, 133, 135, 138, 139, 156, 157, 158, 159, 175, 177, 178, 179, 180, 181, 183, 184, 186, 188, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 216, 221, 222, 236, 238, 239, 240, 241, 242, 243, 244, 245, 249, 252, 253, 261, 262, 263, 267, 276, 278, 279, 282, 284, 286], "signific": [2, 4, 17, 40, 147, 148, 149, 157, 181, 213, 283, 285, 287], "thei": [2, 119, 157], "overal": [2, 14, 157, 204], "characterist": [2, 4, 157, 181], "trend": [2, 13, 116, 139, 157, 198, 238, 262], "present": [2, 120, 142, 157, 250, 251, 255], "understand": [2, 157], "broad": [2, 157], "inform": [2, 3, 6, 11, 24, 26, 43, 45, 46, 48, 82, 84, 88, 90, 91, 93, 95, 97, 100, 101, 103, 106, 108, 116, 117, 119, 120, 123, 125, 127, 129, 131, 133, 135, 152, 153, 156, 157, 159, 160, 167, 175, 182, 185, 195, 217, 218, 219, 221, 222, 228, 230, 231, 232, 234, 237, 239, 240, 241, 242, 243, 245, 246, 249, 252, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "decis": [2, 16, 157, 210], "make": [2, 6, 16, 137, 143, 157, 185, 210, 229, 264], "process": [2, 4, 7, 9, 10, 24, 26, 31, 35, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 142, 143, 149, 152, 153, 155, 156, 157, 158, 159, 161, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 181, 182, 184, 186, 187, 189, 190, 192, 193, 194, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 255, 261, 262, 263, 264, 266, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286, 287], "optim": [2, 4, 142, 143, 149, 157, 181, 255, 264, 287], "oper": [2, 43, 45, 75, 79, 84, 108, 119, 131, 157, 159, 167, 208, 211, 212, 221, 222, 252, 284], "improv": [2, 97, 157, 241], "effici": [2, 24, 26, 46, 54, 56, 58, 62, 66, 71, 75, 76, 97, 108, 116, 121, 127, 135, 152, 153, 155, 157, 182, 186, 189, 190, 193, 201, 203, 207, 209, 239, 241, 243, 252, 262, 279], "effect": [2, 43, 45, 49, 97, 121, 131, 133, 157, 158, 159, 162, 167, 177, 178, 179, 191, 241, 277, 281, 284, 286], "web": [2, 14, 138, 142, 157, 204, 236, 250, 251, 255], "usag": [2, 14, 24, 26, 30, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 86, 97, 100, 101, 106, 108, 110, 116, 120, 121, 123, 125, 127, 129, 131, 133, 135, 138, 152, 153, 155, 156, 157, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 199, 201, 202, 203, 204, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 226, 227, 236, 239, 240, 242, 245, 249, 250, 251, 252, 253, 261, 262, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "manufactur": [2, 4, 6, 9, 143, 149, 157, 181, 185, 192, 250, 251, 264, 287], "social": [2, 157], "network": [2, 4, 9, 49, 137, 139, 148, 157, 177, 181, 192, 229, 238, 250, 251, 285], "approach": [3, 4, 5, 43, 45, 88, 91, 97, 121, 123, 143, 159, 160, 167, 181, 183, 230, 231, 232, 239, 241, 242, 264, 267], "aim": [3, 12, 16, 26, 73, 79, 80, 116, 138, 143, 155, 160, 196, 206, 210, 212, 214, 236, 261, 262, 264], "discov": [3, 7, 10, 11, 12, 14, 16, 24, 26, 43, 45, 46, 48, 49, 50, 52, 56, 60, 62, 66, 69, 73, 75, 76, 78, 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198, 199, 201, 202, 203, 206, 215, 256, 275, 276, 277, 281], "spatial": [3, 7, 8, 10, 11, 12, 13, 15, 52, 54, 56, 58, 60, 62, 66, 69, 73, 75, 79, 80, 129, 147, 160, 184, 186, 187, 188, 189, 190, 191, 193, 194, 195, 196, 197, 198, 201, 202, 205, 206, 209, 211, 212, 213, 214, 215, 277, 281, 282, 283], "remot": [3, 160], "sens": [3, 160], "imag": [3, 160], "weather": [3, 160], "forecast": [3, 5, 18, 139, 140, 146, 160, 183, 216, 238, 248, 280], "refer": [4, 7, 9, 24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 121, 123, 125, 127, 129, 131, 133, 135, 140, 145, 147, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 181, 182, 184, 186, 187, 189, 190, 192, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 275, 276, 278, 279, 282, 283, 284, 286], "occur": [4, 7, 11, 12, 13, 14, 15, 17, 19, 137, 139, 140, 142, 147, 148, 149, 161, 181, 187, 195, 196, 198, 204, 205, 213, 223, 229, 238, 248, 255, 265, 283, 285, 287], "meet": [4, 24, 120, 152, 153, 181], "threshold": [4, 24, 27, 28, 29, 35, 75, 76, 79, 80, 84, 103, 110, 119, 120, 123, 125, 127, 129, 131, 135, 152, 153, 181, 211, 212, 214, 221, 222, 246, 253, 267, 276, 278, 279, 282, 284], "mine": [4, 20, 24, 26, 29, 31, 37, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 151, 152, 153, 155, 156, 157, 158, 159, 160, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 193, 194, 195, 196, 199, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 217, 218, 219, 221, 222, 223, 224, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 273, 274, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287], "us": [4, 14, 15, 24, 26, 27, 29, 30, 31, 33, 35, 37, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 137, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 181, 182, 184, 186, 189, 190, 191, 193, 199, 201, 202, 203, 204, 205, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 224, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 256, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "singl": [4, 45, 71, 75, 80, 110, 119, 120, 166, 181, 203, 207, 214, 253], "uniform": [4, 181, 265], "all": [4, 24, 26, 28, 30, 35, 39, 49, 54, 56, 58, 60, 62, 71, 73, 75, 78, 79, 80, 82, 84, 86, 89, 90, 91, 92, 106, 108, 110, 116, 119, 120, 127, 152, 153, 155, 177, 179, 181, 186, 189, 190, 191, 193, 203, 206, 207, 208, 211, 212, 214, 217, 221, 222, 233, 234, 249, 250, 251, 252, 253, 261, 262, 265, 266, 277, 279], "vari": [4, 18, 136, 143, 145, 181, 216, 225, 264, 275, 281], "level": [4, 33, 101, 181], "By": [4, 45, 162, 181], "more": [4, 18, 66, 143, 181, 201, 216, 264, 265], "nuanc": [4, 181], "each": [4, 12, 14, 17, 19, 30, 39, 49, 73, 75, 79, 80, 82, 119, 120, 139, 141, 145, 146, 177, 178, 179, 181, 191, 196, 204, 206, 209, 211, 212, 213, 214, 217, 218, 219, 223, 238, 250, 251, 254, 256, 265, 266, 275, 277, 280, 281], "evalu": [4, 181], "individu": [4, 181, 191, 277, 281], "its": [4, 17, 29, 30, 39, 54, 56, 58, 62, 82, 119, 136, 147, 149, 181, 186, 189, 190, 193, 213, 217, 218, 219, 225, 266, 281, 283, 287], "import": [4, 14, 15, 17, 24, 26, 27, 28, 29, 30, 31, 32, 33, 35, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 181, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 204, 205, 206, 207, 208, 209, 211, 212, 213, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 265, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "context": [4, 14, 15, 17, 139, 181, 204, 205, 213, 238], "traffic": [4, 8, 9, 19, 136, 137, 139, 143, 148, 181, 188, 192, 223, 225, 229, 238, 264, 285], "involv": [5, 7, 8, 9, 10, 11, 14, 15, 17, 19, 79, 137, 139, 141, 142, 144, 145, 146, 147, 148, 149, 183, 187, 188, 192, 194, 195, 204, 205, 211, 213, 223, 229, 238, 254, 255, 274, 275, 280, 283, 285, 287], "explor": [5, 71, 110, 119, 183, 203, 253], "itemset": [5, 24, 45, 46, 48, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 86, 88, 91, 101, 110, 123, 129, 131, 133, 135, 141, 149, 152, 153, 166, 175, 182, 183, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 227, 230, 231, 253, 254, 256, 271, 273, 282, 284, 286, 287], "exhibit": [5, 7, 8, 9, 12, 136, 137, 138, 139, 143, 147, 149, 183, 187, 188, 192, 196, 225, 229, 236, 238, 264, 283, 287], "linear": [5, 183], "assess": [5, 183], "through": [5, 119, 123, 183, 271], "instead": [5, 183], "sole": [5, 138, 183, 236], "co": [5, 183], "strength": [5, 183], "uncov": [5, 183], "basket": [5, 14, 91, 101, 141, 148, 183, 204, 250, 251, 254, 285], "analyt": [5, 14, 104, 148, 149, 183, 204, 247, 285, 287], "financi": [5, 6, 9, 137, 140, 141, 143, 146, 183, 185, 192, 229, 248, 254, 264, 280], "ffp": [6, 185], "captur": [6, 8, 136, 185, 188, 225], "inher": [6, 185], "partial": [6, 60, 69, 86, 88, 89, 90, 91, 92, 101, 185, 196, 197, 202, 215, 223, 224, 225, 226, 227, 229, 230, 231, 232, 233, 234, 235, 265], "event": [6, 8, 9, 10, 11, 12, 13, 15, 17, 19, 82, 136, 139, 142, 145, 147, 185, 188, 192, 194, 195, 196, 198, 205, 213, 217, 218, 219, 223, 224, 225, 238, 255, 275, 283], "requir": [6, 40, 73, 75, 136, 185, 206, 209, 225], "variat": [6, 12, 137, 185, 196, 229], "degre": [6, 136, 137, 185, 225, 229], "membership": [6, 54, 185, 186], "similar": [6, 185, 197], "them": [6, 119, 137, 143, 185, 229, 264], "suitabl": [6, 143, 185, 264], "imprecis": [6, 8, 9, 185, 188, 192], "medic": [6, 16, 185, 210], "qualiti": [6, 185], "control": [6, 26, 82, 86, 97, 98, 100, 101, 103, 108, 155, 156, 185, 217, 218, 219, 226, 227, 239, 240, 241, 242, 243, 244, 245, 246, 252], "geograph": [7, 8, 10, 11, 13, 145, 187, 188, 194, 195, 198, 275], "mai": [7, 9, 12, 13, 18, 19, 136, 137, 143, 145, 146, 187, 192, 196, 198, 216, 223, 225, 229, 264, 265, 275, 280], "object": [7, 27, 28, 29, 30, 32, 33, 35, 36, 37, 39, 40, 41, 49, 52, 80, 82, 91, 97, 101, 116, 119, 120, 147, 179, 184, 187, 191, 214, 217, 243, 262, 277, 281, 283], "epidemiolog": [7, 8, 187, 188], "environment": [7, 8, 10, 11, 12, 13, 15, 136, 144, 146, 147, 187, 188, 194, 195, 196, 198, 205, 225, 274, 280, 283], "monitor": [7, 8, 10, 11, 12, 13, 15, 19, 136, 137, 138, 139, 142, 146, 147, 187, 188, 194, 195, 196, 198, 205, 223, 225, 229, 236, 238, 255, 280, 283], "recur": [8, 9, 12, 13, 19, 106, 136, 137, 138, 139, 188, 192, 196, 198, 215, 223, 225, 229, 236, 238, 248, 249, 265], "tempor": [8, 9, 10, 11, 12, 13, 18, 28, 31, 32, 40, 62, 79, 86, 88, 89, 90, 91, 92, 95, 97, 98, 100, 103, 104, 116, 127, 136, 138, 139, 188, 191, 192, 193, 194, 195, 196, 197, 198, 211, 215, 216, 224, 225, 226, 230, 231, 233, 234, 235, 236, 237, 238, 239, 241, 243, 244, 245, 246, 247, 261, 262, 277, 278, 279, 281], "locat": [8, 10, 15, 145, 188, 194, 197, 205, 275], "repetit": [8, 136, 143, 188, 225, 264], "natur": [8, 9, 123, 138, 145, 188, 192, 236, 269, 270, 275, 281], "phenomena": [8, 11, 13, 139, 188, 195, 198, 238], "over": [8, 18, 80, 119, 136, 138, 139, 142, 143, 188, 197, 214, 216, 224, 225, 236, 238, 255, 264], "time": [8, 9, 11, 12, 13, 18, 24, 26, 28, 30, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 136, 137, 138, 139, 140, 142, 143, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 188, 189, 190, 192, 193, 195, 196, 197, 198, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 216, 217, 218, 219, 221, 222, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 252, 253, 255, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "space": [8, 12, 24, 26, 27, 29, 30, 31, 37, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 188, 189, 190, 191, 193, 196, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 224, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 256, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "while": [8, 11, 43, 64, 66, 69, 75, 82, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 106, 110, 116, 117, 119, 121, 123, 125, 127, 129, 131, 133, 135, 158, 159, 188, 195, 199, 201, 202, 209, 217, 218, 219, 228, 230, 231, 232, 233, 234, 237, 241, 242, 243, 244, 245, 249, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 282, 284, 286], "entiti": [8, 188], "flow": [8, 143, 188, 264], "studi": [8, 188], "character": [9, 14, 15, 18, 138, 192, 204, 205, 216, 236], "seri": [9, 11, 18, 28, 30, 93, 97, 106, 137, 140, 192, 195, 216, 224, 228, 229, 243, 248, 249], "product": [9, 192, 281], "among": [10, 194], "It": [10, 11, 19, 24, 27, 28, 30, 35, 39, 40, 43, 45, 46, 49, 66, 79, 82, 86, 89, 90, 92, 97, 98, 101, 103, 104, 106, 119, 123, 131, 133, 135, 142, 152, 153, 159, 162, 167, 179, 182, 194, 195, 197, 201, 211, 217, 223, 226, 227, 233, 234, 235, 239, 240, 241, 244, 246, 247, 249, 255, 267, 268, 269, 270, 273, 281, 284, 286], "analyz": [10, 11, 19, 142, 161, 194, 195, 223, 255], "coordin": [10, 194], "timestamp": [10, 46, 82, 88, 97, 101, 116, 127, 139, 182, 191, 194, 197, 217, 224, 232, 238, 239, 242, 243, 261, 265, 277, 279, 281], "possibl": [10, 106, 194, 249], "relat": [10, 106, 119, 139, 147, 194, 238, 249, 283], "servic": [10, 15, 145, 194, 205, 275], "conserv": [10, 13, 194, 198], "tourism": [10, 194], "hospit": [10, 194], "sequenti": [11, 30, 39, 195, 215, 255], "preserv": [11, 195], "order": [11, 54, 60, 73, 79, 80, 119, 142, 186, 195, 206, 212, 214, 224, 255, 256, 265], "instanc": [11, 119, 120, 142, 195, 255], "transport": [11, 13, 147, 195, 198, 283], "urban": [11, 13, 15, 145, 147, 195, 198, 205, 275, 283], "plan": [11, 13, 15, 16, 145, 147, 195, 198, 205, 210, 275, 283], "alwai": [12, 196, 265], "entir": [12, 19, 196, 223, 281], "interest": [12, 78, 79, 80, 116, 196, 211, 261, 262], "In": [12, 24, 30, 39, 45, 75, 116, 119, 121, 123, 127, 131, 135, 139, 145, 147, 149, 152, 153, 162, 196, 197, 209, 224, 238, 262, 265, 271, 275, 278, 281, 283, 284, 287], "word": [12, 196, 197, 224, 265], "agricultur": [12, 17, 196, 213], "crop": [12, 196], "public": [12, 54, 186, 196], "health": [12, 196], "surveil": [12, 196], "disast": [12, 17, 145, 196, 213, 275], "describ": [13, 198, 277], "consist": [13, 14, 17, 18, 143, 191, 198, 204, 213, 216, 264, 277, 281], "activ": [13, 198], "area": [13, 198], "interv": [13, 18, 19, 28, 82, 136, 137, 138, 139, 140, 143, 198, 216, 217, 218, 219, 223, 225, 229, 236, 238, 248, 264], "reveal": [13, 198], "movement": [13, 198], "human": [13, 198], "logist": [13, 198], "infrastructur": [13, 198], "transact": [14, 24, 26, 27, 28, 29, 30, 31, 32, 35, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 121, 123, 125, 127, 129, 131, 133, 135, 141, 142, 143, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 197, 199, 201, 202, 203, 204, 206, 207, 208, 209, 211, 212, 214, 215, 217, 218, 219, 221, 222, 224, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 254, 255, 256, 261, 262, 263, 264, 265, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "databas": [14, 16, 24, 26, 27, 28, 29, 30, 31, 32, 35, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 136, 138, 139, 143, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 197, 199, 201, 202, 203, 204, 206, 207, 208, 209, 210, 211, 212, 214, 215, 217, 221, 222, 224, 225, 226, 227, 228, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 264, 267, 268, 269, 270, 271, 273, 276, 278, 279, 281, 282, 284, 286], "contribut": [14, 16, 17, 141, 204, 210, 213, 254], "significantli": [14, 17, 141, 204, 213, 254], "reflect": [14, 15, 17, 204, 205, 213], "domain": [14, 15, 17, 204, 205, 213], "georeferenc": [15, 205], "combin": [15, 45, 46, 66, 86, 88, 92, 103, 104, 108, 148, 166, 182, 197, 201, 205, 227, 232, 235, 246, 247, 252, 285], "distribut": [15, 17, 30, 39, 49, 101, 177, 205, 213], "lb": [15, 205], "develop": [15, 145, 205, 275], "The": [16, 24, 26, 27, 29, 30, 31, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 136, 139, 140, 148, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 197, 199, 201, 202, 203, 206, 207, 208, 209, 210, 211, 212, 214, 217, 218, 219, 221, 222, 225, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 252, 253, 256, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 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237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 256, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "t": [24, 26, 27, 30, 31, 32, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 191, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "sourc": [24, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 39, 40, 41, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "_correlatedpattern": [24, 152, 153], "about": [24, 26, 30, 39, 45, 46, 50, 86, 97, 119, 152, 153, 155, 162, 163, 164, 165, 166, 167, 180, 182, 226, 227, 239, 240], "algorithm": [24, 26, 33, 43, 45, 46, 48, 49, 50, 52, 54, 60, 64, 66, 69, 71, 75, 76, 78, 79, 80, 82, 84, 86, 89, 90, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 199, 201, 202, 203, 207, 208, 209, 211, 212, 217, 218, 219, 221, 222, 226, 227, 228, 233, 234, 235, 237, 239, 240, 241, 243, 244, 245, 246, 247, 249, 252, 253, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 279, 282, 284, 286], "descript": [24, 26, 27, 28, 29, 30, 31, 32, 33, 35, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 281, 282, 284, 286], "fundament": [24, 43, 45, 48, 49, 69, 84, 88, 91, 93, 97, 100, 101, 106, 121, 123, 131, 133, 152, 153, 158, 159, 162, 163, 164, 166, 167, 175, 179, 202, 221, 228, 230, 231, 232, 239, 240, 241, 242, 243, 245, 249, 267, 268, 269, 270, 273, 284, 286], "correl": [24, 52, 86, 95, 152, 153, 154, 183, 184, 191, 215, 226, 227, 236, 237, 265, 266], "fp": [24, 28, 43, 45, 49, 131, 152, 153, 159, 167, 179, 284], "growth": [24, 48, 49, 75, 82, 90, 97, 100, 127, 152, 153, 175, 179, 209, 217, 234, 243, 245, 279], "depth": [24, 46, 82, 89, 98, 119, 152, 153, 182, 217, 218, 219, 233, 244], "first": [24, 45, 46, 49, 75, 80, 82, 89, 98, 110, 119, 120, 152, 153, 162, 179, 182, 207, 214, 217, 218, 219, 224, 233, 244, 253, 265, 277], "search": [24, 43, 45, 46, 49, 54, 56, 58, 62, 75, 76, 82, 84, 89, 98, 119, 121, 131, 133, 152, 153, 158, 159, 162, 167, 177, 178, 179, 182, 186, 189, 190, 193, 215, 217, 218, 219, 222, 233, 244, 284, 286], "lee": [24, 97, 127, 152, 153, 240, 278], "y": [24, 33, 43, 45, 71, 97, 104, 116, 117, 119, 120, 152, 153, 159, 167, 203, 239, 247, 262, 263], "kim": [24, 152, 153], "w": [24, 79, 116, 127, 152, 153, 212, 261, 278], "cao": [24, 152, 153], "d": [24, 152, 153, 256, 265, 266], "han": [24, 43, 45, 84, 152, 153, 158, 159, 167, 221], "j": [24, 43, 45, 46, 48, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 91, 97, 110, 116, 119, 120, 123, 127, 131, 152, 153, 159, 167, 175, 182, 203, 206, 207, 212, 214, 217, 218, 219, 221, 226, 232, 233, 241, 253, 261, 267, 278, 284], "2003": [24, 45, 152, 153, 165], "icdm": [24, 123, 152, 153, 271], "pp": [24, 45, 49, 56, 62, 69, 79, 80, 93, 97, 110, 116, 129, 131, 133, 152, 153, 162, 177, 189, 193, 202, 211, 214, 228, 243, 253, 261, 282, 284, 286], "581": [24, 152, 153], "584": [24, 152, 153], "paramet": [24, 26, 27, 28, 29, 31, 32, 33, 35, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "name": [24, 26, 27, 28, 29, 30, 31, 32, 33, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 282, 284, 286], "input": [24, 26, 27, 29, 30, 31, 32, 33, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "file": [24, 26, 27, 28, 29, 30, 31, 32, 33, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "complet": [24, 26, 28, 29, 30, 31, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 136, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 225, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 282, 284, 286], "ofil": [24, 26, 27, 28, 29, 30, 31, 35, 37, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "output": [24, 26, 27, 28, 29, 30, 31, 32, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "store": [24, 26, 27, 29, 30, 31, 33, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 224, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "user": [24, 26, 27, 28, 29, 31, 37, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 139, 142, 143, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 255, 261, 262, 263, 264, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "specifi": [24, 29, 32, 33, 37, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 78, 79, 80, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "either": [24, 29, 40, 43, 45, 46, 48, 49, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 78, 79, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 106, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 208, 211, 212, 226, 227, 228, 230, 231, 232, 233, 234, 237, 239, 240, 241, 242, 243, 244, 245, 249, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 281, 282, 284, 286], "count": [24, 29, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 78, 79, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 110, 116, 117, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 208, 211, 212, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "proport": [24, 29, 43, 45, 46, 48, 49, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 106, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 136, 152, 153, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 208, 211, 212, 225, 226, 227, 228, 230, 231, 232, 233, 234, 237, 239, 240, 241, 242, 243, 244, 245, 249, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "size": [24, 29, 30, 33, 39, 43, 45, 46, 48, 49, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 106, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 208, 211, 212, 226, 227, 228, 230, 231, 232, 233, 234, 237, 239, 240, 241, 242, 243, 244, 245, 249, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "If": [24, 29, 43, 45, 46, 48, 49, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 106, 116, 117, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 182, 184, 186, 189, 190, 191, 193, 199, 201, 202, 203, 206, 208, 211, 212, 226, 227, 228, 230, 231, 232, 233, 234, 237, 239, 240, 241, 242, 243, 244, 245, 249, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 282, 284, 286], "program": [24, 26, 29, 30, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 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269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "itemsetcount": [24, 46, 48, 90, 93, 95, 97, 100, 101, 106, 108, 116, 117, 123, 125, 127, 135, 152, 153, 175, 182, 228, 234, 237, 239, 240, 241, 242, 243, 245, 249, 252, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 279], "finalpattern": [24, 26, 31, 43, 45, 46, 48, 49, 50, 64, 66, 69, 78, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 199, 201, 202, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "dict": [24, 26, 27, 30, 31, 33, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "itemsetbuff": [24, 54, 56, 58, 60, 62, 108, 152, 153, 186, 189, 190, 252], "maxpatternlength": [24, 108, 152, 153, 252], "constraint": [24, 73, 79, 101, 108, 110, 116, 139, 143, 152, 153, 206, 212, 238, 252, 253, 261, 262, 264], "length": [24, 27, 30, 32, 39, 40, 43, 75, 79, 82, 108, 121, 123, 125, 127, 135, 152, 153, 158, 208, 211, 217, 218, 219, 252, 267, 268, 269, 270, 271, 273, 276, 279], "execut": [24, 30, 39, 45, 46, 50, 58, 80, 82, 86, 89, 91, 92, 97, 100, 101, 103, 106, 152, 153, 162, 163, 164, 165, 166, 167, 180, 182, 190, 217, 218, 219, 226, 227, 233, 239, 240, 245, 246, 249], "method": [24, 26, 27, 30, 31, 32, 33, 37, 39, 40, 43, 45, 46, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 159, 162, 163, 164, 165, 166, 167, 177, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "termin": [24, 26, 45, 46, 50, 56, 86, 93, 97, 98, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 162, 163, 164, 165, 166, 167, 180, 182, 189, 226, 227, 228, 239, 240, 244, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "command": [24, 26, 45, 46, 50, 56, 86, 93, 97, 98, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 162, 163, 164, 165, 166, 167, 180, 182, 189, 226, 227, 228, 239, 240, 244, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "format": [24, 26, 30, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 197, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 224, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 256, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "venv": [24, 26, 30, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 91, 93, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 231, 232, 233, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "python3": [24, 26, 30, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "py": [24, 26, 30, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "inputfil": [24, 26, 27, 30, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "outputfil": [24, 26, 27, 28, 30, 32, 35, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "exampl": [24, 26, 30, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 191, 193, 197, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 224, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 256, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 277, 278, 279, 281, 282, 284, 286], "sampletdb": [24, 26, 48, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 86, 89, 90, 93, 95, 97, 98, 100, 101, 106, 110, 116, 117, 123, 125, 127, 135, 152, 153, 155, 156, 175, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 226, 227, 228, 233, 234, 237, 241, 242, 243, 244, 245, 249, 253, 261, 262, 263, 267, 276, 278, 279], "txt": [24, 26, 30, 32, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "25": [24, 86, 152, 153, 226, 227], "2": [24, 40, 48, 50, 52, 54, 56, 58, 60, 62, 69, 73, 79, 80, 88, 89, 91, 97, 98, 100, 106, 108, 116, 121, 127, 129, 152, 153, 175, 180, 184, 186, 189, 190, 191, 193, 197, 202, 206, 212, 214, 224, 230, 231, 233, 241, 242, 243, 244, 245, 249, 252, 261, 265, 266, 277, 278, 279, 281, 282], "call": [24, 26, 45, 46, 50, 56, 58, 78, 80, 82, 86, 97, 98, 119, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 162, 163, 164, 165, 166, 167, 180, 182, 189, 190, 219, 226, 227, 239, 240, 244, 267, 268, 269, 270, 271, 276, 277, 278, 279, 282, 284, 286], "alg": [24, 26, 30, 39, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "obj": [24, 26, 27, 28, 29, 30, 31, 33, 35, 37, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "getpattern": [24, 26, 29, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "print": [24, 26, 28, 30, 32, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "number": [24, 26, 30, 32, 39, 40, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 265, 266, 267, 268, 269, 270, 271, 273, 276, 278, 279, 281, 282, 284, 286], "len": [24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 79, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "savepattern": [24, 45, 46, 48, 75, 76, 84, 101, 104, 106, 110, 117, 120, 125, 127, 131, 152, 153, 165, 167, 175, 182, 222, 247, 249, 253, 263, 276, 279, 284], "df": [24, 26, 28, 43, 45, 46, 48, 49, 50, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 119, 120, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "getpatternsasdatafram": [24, 26, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 190, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "memuss": [24, 26, 28, 43, 45, 46, 48, 49, 50, 52, 54, 56, 60, 62, 64, 66, 69, 71, 73, 75, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 98, 100, 101, 103, 104, 106, 108, 110, 116, 117, 121, 123, 125, 127, 129, 131, 133, 135, 152, 153, 155, 156, 158, 159, 162, 163, 164, 165, 166, 167, 175, 177, 178, 179, 180, 182, 184, 186, 189, 193, 199, 201, 202, 203, 206, 207, 208, 209, 211, 212, 214, 217, 218, 219, 221, 222, 226, 227, 228, 230, 231, 232, 233, 234, 235, 237, 239, 240, 241, 242, 243, 244, 245, 246, 247, 249, 252, 253, 261, 262, 263, 267, 268, 269, 270, 271, 273, 276, 278, 279, 282, 284, 286], "getmemoryuss": [24, 26, 28, 43, 45, 46, 48, 49, 50, 52, 54, 56, 58, 60, 62, 64, 66, 69, 71, 73, 75, 76, 78, 79, 80, 82, 84, 86, 88, 89, 90, 91, 92, 93, 95, 97, 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