Developing 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

In this paper, we present an evaluation of a rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indices. 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 five rulesets from the five kinds of UCI datasets. 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 Knowledge Technology - First International Conference, RSKT 2006, Proceedings
出版社Springer Verlag
ページ456-461
ページ数6
ISBN(印刷版)3540362975, 9783540362975
DOI
出版ステータスPublished - 2006
イベントFirst International Conference on Rough Sets and Knowledge Technology, RSKT 2006 - Chongqing, China
継続期間: 2006 7 242006 7 26

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)
4062 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

OtherFirst International Conference on Rough Sets and Knowledge Technology, RSKT 2006
CountryChina
CityChongqing
Period06/7/2406/7/26

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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