Finding functional groups of objective rule evaluation indices using PCA

Hidenao Abe, Shusaku Tsumoto, Miho Ohsaki, Takahira Yamaguchi

研究成果: Conference contribution

抄録

To support data mining post-processing, which is one of the important procedures in a data mining process, at least 40 indices are proposed to acquire valuable knowledge. However, since their behaviors have never been elucidated, domain experts are required to spend their time to understanding the meanings of each index in a given data mining result. In this paper, we present an analysis of the behavior of objective rule evaluation indices on classification rule sets by principle component analysis (PCA). Therefore, we carried out a PCA to a dataset consisting of the 39 objective rule evaluation indices. In order to obtain the dataset, we calculated the average values of the bootstrap method on 32 classification rule sets learned by information gain ratio. Then, we identified the seven functional groups of the objective indices based on the PCA. Using this result, we discuss a rule evaluation interface for use by human experts.

本文言語English
ホスト出版物のタイトルPractical Aspects of Knowledge Management - 7th International Conference, PAKM 2008, Proceedings
ページ197-206
ページ数10
DOI
出版ステータスPublished - 2008
イベント7th International Conference on Practical Aspects of Knowledge Management, PAKM 2008 - Yokohama, Japan
継続期間: 2008 11 222008 11 23

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)
5345 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other7th International Conference on Practical Aspects of Knowledge Management, PAKM 2008
CountryJapan
CityYokohama
Period08/11/2208/11/23

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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