Class Association Rule Mining from Incomplete Database Using Genetic Network Programming-Reference-Cited by-同舟云学术

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Class Association Rule Mining from Incomplete Database Using Genetic Network Programming

Published:2008 Issue:5 Volume:128 Page:795-803
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Shimada Kaoru¹,Mabu Shingo²,Morikawa Eiji²,Hirasawa Kotaro²,Furuzuki Takayuki²

Affiliation:

1. Information, Production and Systems Research Center, Waseda University

2. Graduate School of Information, Production and Systems, Waseda University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

http://www.jstage.jst.go.jp/article/ieejeiss/128/5/128_5_795/_pdf

Reference11 articles.

1. (1) T. Fukuda, Y. Morimoto, and T. Tokuyama: “Data Mining”, Kyoritsu Shuppan (2001) (in Japanese)

2. 福田剛志.森本康彦.徳山豪:「データマイニング」,共立出版 (2001)

3. (2) K. Shimada, K. Hirasawa, and T. Furuzuki: “Data Mining Using Genetic Network Programming with the Use of Acquired Information”, Journal of Information Processing Society of Japan, Vol. 46, No. 10, pp. 849-856 (2005)

4. Medical Association Rule Mining Using Genetic Network Programming

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Flexible Rule Mining for Difference Rules and Exception Rules from Incomplete Database;IEEJ Transactions on Electronics, Information and Systems;2010

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