Evaluating learning algorithms for a rule evaluation support method based on objective rule evaluation 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 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 a dataset. This dataset comprises objective indices for mined classification rules and evaluations by a human expert for each rule. To evaluate performances of learning algorithms for constructing the rule evaluation models, we have done a case study on the meningitis data mining as an actual problem. Furthermore, we have also evaluated our method with five rule sets obtained from five UCI datasets.

本文言語English
ホスト出版物のタイトルFoundations of Intelligent Systems - 16th International Symposium, ISMIS 2006, Proceedings
出版社Springer Verlag
ページ379-388
ページ数10
ISBN(印刷版)354045764X, 9783540457640
DOI
出版ステータスPublished - 2006
イベント16th International Symposium on Methodologies for Intelligent Systems, ISMIS 2006 - Bari, Italy
継続期間: 2006 9 272006 9 29

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)
4203 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other16th International Symposium on Methodologies for Intelligent Systems, ISMIS 2006
CountryItaly
CityBari
Period06/9/2706/9/29

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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