Sciweavers

GECCO
2006
Springer

Multiobjective genetic rule selection as a data mining postprocessing procedure

14 years 3 months ago
Multiobjective genetic rule selection as a data mining postprocessing procedure
In this paper, we show the usefulness of multiobjective genetic rule selection as a postprocessing procedure in data mining for pattern classification problems. First we extract a prespecified number of rules using a data mining technique. Then we apply multiobjective genetic rule selection to the extracted rules. Experimental results show that multiobjective genetic rule selection significantly decreases the number of extracted rules while improving their classification accuracy. Categories and Subject Descriptors I.2.6 [Artificial Intelligence]: Learning
Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
Added 23 Aug 2010
Updated 23 Aug 2010
Type Conference
Year 2006
Where GECCO
Authors Hisao Ishibuchi, Yusuke Nojima, Isao Kuwajima
Comments (0)