PartialPeriodicPatternMining

class geoanalytics.patternMining.PartialPeriodicPatternMining.PartialPeriodicPatternMining(inputFile: str)[source]

Bases: PatternMiner

About this algorithm

Description:

This module implements the PPPGrowth algorithm for mining partial periodic patterns from temporal transactional datasets. It identifies itemsets that recur periodically within a specified period with a minimum periodic support threshold.

Parameters:

  • inputFile (str): Path to the temporal transactional database file.

Attributes:

  • inputFile (str): The temporal transactional input file provided during object instantiation.

  • miner (PPPGrowth): Instance of the PPPGrowth algorithm from the PAMI library.

Execution methods

Calling from a Python program

from geoanalytics.patternMining import PartialPeriodicPatternMining

miner = PartialPeriodicPatternMining("data/input.txt")

miner.run(minSupport=3, period=10)

Credits

Written by M. Charan Teja, under the guidance of Professor Rage Uday Kiran.

run(minSupport: int, period: int)[source]

Executes the PPPGrowth algorithm to mine partial periodic patterns.

Parameters:

  • minSupport (int) – Minimum periodic support threshold for frequent itemsets.

  • period (int) – The periodicity window controlling pattern recurrence interval.

Output:

Prints the discovered partial periodic patterns to the console.