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.
avinash4720 / hbst-a-new-hash-based-spacio-temporal-apriori-algorithm-for-frequent-pattern-mining Goto Github PK
View Code? Open in Web Editor NEWImplementation of IEEE paper on Data Mining
Home Page: https://ieeexplore.ieee.org/document/8766970