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JACIII Vol.12 No.1 pp. 63-76
doi: 10.20965/jaciii.2008.p0063
(2008)

Paper:

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A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology

Guangfei Yang, Kaoru Shimada, Shingo Mabu,
Kotaro Hirasawa, and Jinglu Hu

Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135, Japan

Received:
April 27, 2007
Accepted:
August 31, 2007
Published:
January 20, 2008
Creative Commons License
Keywords:
generalized association rule, genetic network programming, ontology, dynamic threshold approach
Abstract
In this paper, we propose a Genetic Network Programming based method to mine equalized association rules in multi concept layers of ontology. We first introduce ontology to facilitate building the multi concept layers and propose Dynamic Threshold Approach (DTA) to equalize the different layers. We make use of an evolutionary computation method called Genetic Network Programming (GNP) to mine the rules and develop a new genetic operator to speed up searching the rule space.
Cite this article as:
G. Yang, K. Shimada, S. Mabu, K. Hirasawa, and J. Hu, “A Genetic Network Programming Based Method to Mine Generalized Association Rules with Ontology,” J. Adv. Comput. Intell. Intell. Inform., Vol.12 No.1, pp. 63-76, 2008.
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References
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