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Implementation of IEEE paper on Data Mining

Home Page: https://ieeexplore.ieee.org/document/8766970

Jupyter Notebook 99.09% Python 0.91%
apriori-algorithm data-mining fp-growth

hbst-a-new-hash-based-spacio-temporal-apriori-algorithm-for-frequent-pattern-mining's Introduction

HBST SPACIO-TEMPORAL-APRIORI-ALGORITHM-FOR-FREQUENT-PATTERN-MINING

This project presents the design and implementation of a Hash-Based Spatio Temporal Apriori Algorithm (HBST), a new state of art Frequent Pattern Mining Algorithm for spatio-temporal datasets. In this work, the number of database accesses is reduced by using Calendar Map Schemas (CMS) which is a direct address-based hashing technique is used to optimize collisions as well as the execution time of the algorithm.

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