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

Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Takayuki Furuzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 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 languageEnglish
Title of host publication2007 IEEE Congress on Evolutionary Computation, CEC 2007
Pages705-712
Number of pages8
DOIs
Publication statusPublished - 2007
Event2007 IEEE Congress on Evolutionary Computation, CEC 2007 -
Duration: 2007 Sep 252007 Sep 28

Other

Other2007 IEEE Congress on Evolutionary Computation, CEC 2007
Period07/9/2507/9/28

Fingerprint

Network Programming
Genetic Network
Association Rule Mining
Association rules
Computer programming
Genetic Programming
Ontology
Evolutionary algorithms
Genetic Operators
Association Rules
Evolutionary Computation
Speedup
Concepts
Simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Theoretical Computer Science

Cite this

Yang, G., Shimada, K., Mabu, S., Hirasawa, K., & Furuzuki, T. (2007). Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. In 2007 IEEE Congress on Evolutionary Computation, CEC 2007 (pp. 705-712). [4424540] https://doi.org/10.1109/CEC.2007.4424540

Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. / Yang, Guangfei; Shimada, Kaoru; Mabu, Shingo; Hirasawa, Kotaro; Furuzuki, Takayuki.

2007 IEEE Congress on Evolutionary Computation, CEC 2007. 2007. p. 705-712 4424540.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yang, G, Shimada, K, Mabu, S, Hirasawa, K & Furuzuki, T 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, pp. 705-712, 2007 IEEE Congress on Evolutionary Computation, CEC 2007, 07/9/25. https://doi.org/10.1109/CEC.2007.4424540
Yang G, Shimada K, Mabu S, Hirasawa K, Furuzuki T. Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. In 2007 IEEE Congress on Evolutionary Computation, CEC 2007. 2007. p. 705-712. 4424540 https://doi.org/10.1109/CEC.2007.4424540
Yang, Guangfei ; Shimada, Kaoru ; Mabu, Shingo ; Hirasawa, Kotaro ; Furuzuki, Takayuki. / Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. 2007 IEEE Congress on Evolutionary Computation, CEC 2007. 2007. pp. 705-712
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