Generating a Condensed Representation for Positive and Negative Association Rules

A Condensed Representation for Association Rules




Association rules, Generator itemsets, Closed itemsets, Minimal infrequent itemsets


Given a large collection of transactions containing items, a basic common association rules problem is the huge size of the extracted rule set. Pruning uninteresting and redundant association rules is a promising approach to solve this problem. In this paper, we propose a Condensed Representation for Positive and Negative Association Rules representing non-redundant rules for both exact and approximate association rules based on the sets of frequent generator itemsets, frequent closed itemsets, maximal frequent itemsets, and minimal infrequent itemsets in database B. Experiments on dense (highly-correlated) databases show a significant reduction of the size of extracted association rule set in database B.


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How to Cite

Parfait, B. ., & Totohasina, . A. (2021). Generating a Condensed Representation for Positive and Negative Association Rules: A Condensed Representation for Association Rules. Business Information Systems, 1, 175–186.

Conference Proceedings Volume


Artificial Intelligence