GANDIVA: Temporal Pattern Tree for Similarity Profiled Association Mining

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.