ヤマグチ タカヒラ   Yamaguchi Takahira
  山口 高平
   所属   神奈川大学  情報学部 システム数理学科
    神奈川大学大学院  工学研究科 工学専攻(情報システム創成領域)
   職種   教授
言語種別 英語
発行・発表の年月 2008
形態種別 学術雑誌
査読 査読あり
標題 Finding Functional Groups of Objective Rule Evaluation Indices Using PCA
執筆形態 共著
掲載誌名 PRACTICAL ASPECTS OF KNOWLEDGE MANAGEMENT
掲載区分国外
出版社・発行元 SPRINGER-VERLAG BERLIN
巻・号・頁 5345,pp.197-206
著者・共著者 Hidenao Abe,Shusaku Tsumoto,Miho Ohsaki,Takahira Yamaguchi
概要 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.
ISSN 0302-9743