Improving a rule evaluation support method based on objective indices. (22nd December 2009)

• Record Type: Journal Article
• Authors: Abe, Hidenao; Tsumoto, Shusaku; Ohsaki, Miho; Yamaguchi, Takahira
• Is Part Of: International journal of advanced intelligence paradigms. Volume 2:Number 2/3(2010)
• Page Start: 180
• Page End: 197
• Publication Date: 2009-12-22
• Subjects: data mining -- post-processing -- rule evaluation support -- objective rule evaluation index -- constructive meta-learning -- PCA -- principal component analysis -- learning models -- learning algorithm selection -- sorting efficiency; Artificial intelligence -- Periodicals; Machine theory -- Periodicals; Fuzzy logic -- Periodicals; 006.305
• Languages: English
• ISSNs: 1755-0386

Abstract

It is a key for the successes of data mining projects in practical situations to evaluate the obtained so many patterns as valuable knowledge effectively. In order to provide an effective support, we have been developing a rule evaluation support method based on the learning models of objective rule evaluation indices. In this paper, we report two improvements of this method and their evaluations. One is improved the learning algorithm selection in the proposed method by introducing a constructive meta-learning scheme. The other is improved the sorting efficiency of objective rule evaluation indices by combining them.