Evaluating learning models for a rule evaluation support method based on objective indices

Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi

研究成果: Conference contribution

抄録

We present an evaluation of a rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indices in this paper. To reduce the costs of rule evaluation task, which is one of the key procedures in data mining post-processing, we have developed the rule evaluation support method with rule evaluation models, which are obtained with objective indices of mined classification rules and evaluations of a human expert for each rule. Then we have evaluated performances of learning algorithms for constructing rule evaluation models on the meningitis data mining as an actual problem, and ten rule sets from the ten kinds of UCI datasets as an article problem. With these results, we show the availability of our rule evaluation support method.

本文言語English
ホスト出版物のタイトルRough Sets and Current Trends in Computing - 5th International Conference, RSCTC 2006, Proceedings
出版社Springer Verlag
ページ687-695
ページ数9
ISBN(印刷版)3540476938, 9783540476931
DOI
出版ステータスPublished - 2006
イベント5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006 - Kobe, Japan
継続期間: 2006 11 62006 11 8

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4259 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006
国/地域Japan
CityKobe
Period06/11/606/11/8

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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