Evaluating learning algorithms for a rule evaluation support method

Hidenao Abe, Miho Ohsaki, Shusaku Tsumoto, Takahira Yamaguchi

研究成果: Conference contribution

抄録

In this paper, we present an evaluation of learning algorithms of a novel rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indices. Post-processing of mined results is one of the key processes in a data mining process. However, it is difficult for human experts to completely evaluate several thousands of rules from a large dataset with noises. To reduce the costs in such rule evaluation task, we have developed the rule evaluation support method with rule evaluation models, which learn from objective indices for mined classification rules and evaluations by a human expert for each rule. To enhance adaptability of rule evaluation models, we introduced a constructive meta-learning system to choose proper learning algorithms. Then, we have done the case study on the meningitis data mining as an actual problem.

本文言語English
ホスト出版物のタイトル2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
ページ3784-3789
ページ数6
DOI
出版ステータスPublished - 2007
イベント2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
継続期間: 2007 10 72007 10 10

出版物シリーズ

名前Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN(印刷版)1062-922X

Other

Other2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
CountryCanada
CityMontreal, QC
Period07/10/707/10/10

ASJC Scopus subject areas

  • Engineering(all)

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