Performance Analysis of Frequent Closed Itemset Mining: PEPP Scalability over CHARM, CLOSET+ and BIDE

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Kalli Srinivasa Nageswara Prasad
Prof. S. Ramakrishna

Abstract

Frequent itemsets play an essential role in association rule mining, The closed frequent itemset mining is an advancement to frequent
itemset mining for association rules, which become an interesting topic for researchers. In this paper, we present an empirical study to evaluate
the performance compatibility of the Frequent closed itemset mining algorithms that are in current state of the art for mining association rules.


Keywords: Frequent Closed Itemset Mining, CHARM, CLOSET+, BIDE, PEPP

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