Genetic network programming with association rule acquisition mechanisms

Kaoru Shimada*, Kotaro Hirasawa, Jinglu Hu

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)


A method of association rule mining using Genetic Network Programming with sophisticated rule acquisition mechanisms is proposed to improve the performance of rule extraction. The system evolves itself by an evolutionary method and measures the significance of the association via the chi-squared test. Extracted rules are stored in a pool through generations and reflected in genetic operators as acquired information.

Original languageEnglish
Number of pages7
Publication statusPublished - 2005 Dec 1
EventSICE Annual Conference 2005 - Okayama, Japan
Duration: 2005 Aug 82005 Aug 10


ConferenceSICE Annual Conference 2005


  • Association Rules
  • Data Mining
  • Evolutionary Computation
  • Genetic Network Programming

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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