GANDIVA: Temporal Pattern Tree for Similarity Profiled Association Mining

Vangipuram Radhakrishna, Puligadda Veereswara Kumar and Vinjamuri Janaki
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Vangipuram Radhakrishna: VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India
Puligadda Veereswara Kumar: Acharya Institute of Technology, Bangalore, India
Vinjamuri Janaki: Vaagdevi College of Engineering, Warangal, India

International Journal of Information Technology and Web Engineering (IJITWE), 2019, vol. 14, issue 4, 1-18

Abstract: In this research, the authors propose a novel tree structure called GANDIVA which computes true supports of all temporal itemsets by performing a tree-based scan and eliminating the database scan which is required for SPAMINE, G-SPAMINE, MASTER, and Z-SPAMINE approaches. The idea is to construct the tree called GANDIVA which determines support of all time-stamped temporal itemsets from the constructed tree. Another important advantage of the proposed approach is that it does not require the original database to be retained in the memory after a time profiled pattern tree (GANDIVA) is constructed from the original database. The significant advantage of GANDIVA over SPAMINE, G-SPAMINE, Z-SPAMINE, and MASTER is that GANDIVA requires zero database scans after the tree construction. GANDIVA is the pioneering research to propose a novel tree-based framework for seasonal temporal data mining.

Date: 2019
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