A Binary Decision Diagram to discover low threshold support frequent itemsets

Abstract

Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent itemsets is computationally the most expensive step in association rule discovery and therefore it has grasped significant research focus [1]. Discovery of frequently occurring subsets of items, called itemsets, is the core… (More)
DOI: 10.1109/DEXA.2007.150

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