HighUtilitySpatialPatternMining

class geoanalytics.patternMining.HighUtilitySpatialPatternMining.HighUtilitySpatialPatternMining(inputFile: str)

Bases: PatternMiner

About this algorithm

Description:

This module implements the HDSHUIM algorithm for mining high utility spatial patterns from utility transactional databases augmented with spatial neighborhood information. The algorithm integrates utility-based pattern mining with spatial proximity defined by a neighborhood file to discover spatially meaningful high utility patterns.

Parameters:

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

• nFile (str): Path to the neighborhood file specifying spatial relationships.

Attributes:

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

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

Execution methods

Calling from a Python program

from geoanalytics.patternMining import HighUtilitySpatialPatternMining

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

miner.run(minUtil=50, nFile="data/neighbor.txt")

Credits

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

run(minUtil: int, nFile: str)

Executes the HDSHUIM algorithm to mine high utility spatial patterns.

Parameters:

• minUtil (int) – Minimum utility threshold to identify high utility patterns.

• nFile (str) – Path to the neighborhood file containing spatial proximity information.

Output:

Prints the discovered high utility spatial patterns to the console.