Genetic network programming with association rule acquisition mechanisms

Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu

研究成果: Paper査読

2 被引用数 (Scopus)

抄録

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.

本文言語English
ページ13-19
ページ数7
出版ステータスPublished - 2005 12 1
イベントSICE Annual Conference 2005 - Okayama, Japan
継続期間: 2005 8 82005 8 10

Conference

ConferenceSICE Annual Conference 2005
CountryJapan
CityOkayama
Period05/8/805/8/10

ASJC Scopus subject areas

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

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