Genetic network programming with association rule acquisition mechanisms

Kaoru Shimada; Kotaro Hirasawa; Jinglu Hu

Genetic network programming with association rule acquisition mechanisms

Kaoru Shimada^*, Kotaro Hirasawa, Jinglu Hu

^*この研究の対応する著者

大学院情報生産システム研究科

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月 1
イベント	SICE Annual Conference 2005 - Okayama, Japan 継続期間: 2005 8月 8 → 2005 8月 10

Conference

Conference	SICE Annual Conference 2005
国/地域	Japan
City	Okayama
Period	05/8/8 → 05/8/10

ASJC Scopus subject areas

制御およびシステム工学
コンピュータサイエンスの応用
電子工学および電気工学

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引用スタイル

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title = "Genetic network programming with association rule acquisition mechanisms",

abstract = "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.",

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AU - Hirasawa, Kotaro

AU - Hu, Jinglu

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N2 - 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.

AB - 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.

KW - Association Rules

KW - Data Mining

KW - Evolutionary Computation

KW - Genetic Network Programming

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M3 - Paper

AN - SCOPUS:33645291183

SP - 13

EP - 19

T2 - SICE Annual Conference 2005

Y2 - 8 August 2005 through 10 August 2005

ER -

Genetic network programming with association rule acquisition mechanisms

抄録

Conference

ASJC Scopus subject areas

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