Evaluating learning algorithms with meta-learning schemes for a rule evaluation support method based on objective indices

Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Hideto Yokoi, Takahira Yamaguchi

研究成果: Conference contribution

抄録

In this paper, we present evaluations of learning algorithms for a novel rule evaluation support method in data mining post-processing, which is one of the key processes in a data mining process. 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 task, we have developed the rule evaluation support method with rule evaluation models, which are learned from a dataset consisted of objective indices and evaluations of 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 for constructing them. Then, we have done a case study on the meningitis data mining result, the hepatitis data mining results and rule sets from the eight UCI datasets.

本文言語English
ホスト出版物のタイトルAdvances in Knowledge Acquisition and Management - Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Revised Selected Papers
編集者Achim Hoffmann, Byeong-ho Kang, Debbie Richards, Shusaku Tsumoto
出版社Springer Verlag
ページ75-88
ページ数14
ISBN(印刷版)9783540689553
DOI
出版ステータスPublished - 2006
イベントPacific Rim Knowledge AcquisitionWorkshop, PKAW 2006 - Guilin, China
継続期間: 2006 8 72006 8 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)
4303 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

OtherPacific Rim Knowledge AcquisitionWorkshop, PKAW 2006
CountryChina
CityGuilin
Period06/8/706/8/8

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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