A rule evaluation support method with learning models based on objective rule evaluation indexes

Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi

研究成果: Conference contribution

11 被引用数 (Scopus)

抄録

In this paper, we present a novel rule evaluation support method for post-processing of mined results with rule evaluation models based on objective indexes. Post-processing of mined results is one of the key issues to make a data mining process successfully. However, it is difficult for human experts to evaluate many thousands of rules from a large dataset with noises completely. To reduce the costs of rule evaluation procedures, we have developed the rule evaluation support method with rule evaluation models, which are obtained with objective rule evaluation indexes and evaluations of a human expert for each rule. Since the method is needed more accurate rule evaluation models, we have compared learning algorithms to construct rule evaluation models with the actual meningitis data mining result and actual rule sets from UCI datasets. Then we show the availability of our adaptive rule evaluation support method.

本文言語English
ホスト出版物のタイトルProceedings - Fifth IEEE International Conference on Data Mining, ICDM 2005
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4-7
ページ数4
ISBN(印刷版)0769522785, 9780769522784
DOI
出版ステータスPublished - 2005
イベント5th IEEE International Conference on Data Mining, ICDM 2005 - Houston, TX, United States
継続期間: 2005 11 272005 11 30

出版物シリーズ

名前Proceedings - IEEE International Conference on Data Mining, ICDM
ISSN(印刷版)1550-4786

Other

Other5th IEEE International Conference on Data Mining, ICDM 2005
CountryUnited States
CityHouston, TX
Period05/11/2705/11/30

ASJC Scopus subject areas

  • Engineering(all)

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