Evaluating learning models with transitions of human interests based on objective rule evaluation indices

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

研究成果: Conference contribution

抄録

This paper presents a method to support the evaluation procedure of a data mining process using human-system interaction. The post-processing of mined results is one of the key factors for successful data mining process. However, it is difficult for human experts to completely evaluate several thousands of rules from a large dataset containing noise. We have designed a method based on objective rule evaluation indices to support the rule evaluation procedure; the indices are calculated to evaluate each if-then rule mathematically. We have evaluated five representative learning algorithms to construct rule evaluation models of the actual data mining results from a chronic hepatitis data set. Further, we discuss the relationship between the transitions of the subjective criterion of a medical expert and the performances of the rule evaluation models.

本文言語English
ホスト出版物のタイトルStudies in Health Technology and Informatics
ページ581-585
ページ数5
129
出版ステータスPublished - 2007
イベント12th World Congress on Medical Informatics, MEDINFO 2007 - Brisbane, QLD, Australia
継続期間: 2007 8 202007 8 24

Other

Other12th World Congress on Medical Informatics, MEDINFO 2007
CountryAustralia
CityBrisbane, QLD
Period07/8/2007/8/24

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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