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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2014 Vol.6(6): 490-494 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.915

The Fuzzy Search for Association Rules with Interestingness Measure

Phaichayon Kongchai, Nittaya Kerdprasop, and Kittisak Kerdprasop
Abstract—Association rule are important to retailers as a source of knowledge to manage shelf, to plan an effective promotion, and so on. However, when we are mining with association rule discovery technique, we normally obtain a large number of rules. To select only good rule is difficult. Therefore, in this paper we propose the fuzzy search technique to discover interesting association rule. The comparative result of fuzzy versus non-fuzzy searches are presented in the experiment section. We found that fuzzy search is more flexible than the non-fuzzy one in finding highly constrained rules.

Index Terms—Fuzzy set, fuzzy search, membership function, association rule mining.

The authors are with the School of Computer Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand (e-mail: Zaguraba_ii@hotmail.com).


Cite:Phaichayon Kongchai, Nittaya Kerdprasop, and Kittisak Kerdprasop, "The Fuzzy Search for Association Rules with Interestingness Measure," International Journal of Computer Theory and Engineering vol. 6, no. 6, pp. 490-494, 2014.

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