Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming

Guangfei Yang; Kaoru Shimada; Shingo Mabu; Kotaro Hirasawa; Jinglu Hu

doi:10.1109/CEC.2007.4424540

Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming

Guangfei Yang^*, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

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. The simulation results show that our method could efficiently find some rules even in the early generations.

Original language	English
Title of host publication	2007 IEEE Congress on Evolutionary Computation, CEC 2007
Pages	705-712
Number of pages	8
DOIs	https://doi.org/10.1109/CEC.2007.4424540
Publication status	Published - 2007 Dec 1
Event	2007 IEEE Congress on Evolutionary Computation, CEC 2007 - , Singapore Duration: 2007 Sept 25 → 2007 Sept 28

Publication series

Name	2007 IEEE Congress on Evolutionary Computation, CEC 2007

Conference

Conference	2007 IEEE Congress on Evolutionary Computation, CEC 2007
Country/Territory	Singapore
Period	07/9/25 → 07/9/28

ASJC Scopus subject areas

Artificial Intelligence
Software
Theoretical Computer Science

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10.1109/CEC.2007.4424540

Cite this

Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. / Yang, Guangfei; Shimada, Kaoru; Mabu, Shingo et al.
2007 IEEE Congress on Evolutionary Computation, CEC 2007. 2007. p. 705-712 4424540 (2007 IEEE Congress on Evolutionary Computation, CEC 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yang, G, Shimada, K, Mabu, S, Hirasawa, K & Hu, J 2007, Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. in 2007 IEEE Congress on Evolutionary Computation, CEC 2007., 4424540, 2007 IEEE Congress on Evolutionary Computation, CEC 2007, pp. 705-712, 2007 IEEE Congress on Evolutionary Computation, CEC 2007, Singapore, 07/9/25. https://doi.org/10.1109/CEC.2007.4424540

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Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming

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