A system for mining generalized association rules with ontology using genetic network programming

Guangfei Yang*, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu

*この研究の対応する著者

研究成果: Conference contribution

抄録

In this paper, we propose a Genetic Network Programming based system to mine equalized association rules in multi concept layers of ontology. There are three modules in this system: Database, Equalizer and GNP Miner. We first introduce ontology to facilitate building the multi concept layers in Database module and propose Dynamic Threshold Approach (DTA) to equalize the different layers in Equalizer. We make use of an evolutionary computation method Genetic Network Programming (GNP) to mine the rules and develop a new genetic operator to speed up searching the rule space.

本文言語English
ホスト出版物のタイトルSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007
出版社IEEE Computer Society
ISBN(印刷版)0769528821, 9780769528823
DOI
出版ステータスPublished - 2007 1月 1
イベント2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, Japan
継続期間: 2007 9月 52007 9月 7

出版物シリーズ

名前Second International Conference on Innovative Computing, Information and Control, ICICIC 2007

Other

Other2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
国/地域Japan
CityKumamoto
Period07/9/507/9/7

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 機械工学

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