Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II

Author

Mukhopadhyay, Amit ; Maulik, Ujjwal ; Bandyopadhyay, Supriyo ; Coello, Carlos A. Coello

Author_Institution

Dept. of Comput. Sci. & Eng., Univ. of Kalyani, Kalyani, India

Volume

18

Issue

1

fYear

2014

fDate

Feb. 2014

Firstpage

20

Lastpage

35

Abstract

This paper is the second part of a two-part paper, which is a survey of multiobjective evolutionary algorithms for data mining problems. In Part I , multiobjective evolutionary algorithms used for feature selection and classification have been reviewed. In this part, different multiobjective evolutionary algorithms used for clustering, association rule mining, and other data mining tasks are surveyed. Moreover, a general discussion is provided along with scopes for future research in the domain of multiobjective evolutionary algorithms for data mining.

Keywords

data mining; evolutionary computation; feature selection; pattern classification; pattern clustering; association rule mining; classification; clustering; data mining problem; feature selection; multiobjective evolutionary algorithm; Association rules; Biological cells; Clustering algorithms; Encoding; Indexes; Linear programming; Association rule mining; biclustering; clustering; ensemble learning; multiobjective evolutionary algorithms;

fLanguage

English

Journal_Title

Evolutionary Computation, IEEE Transactions on

Publisher

ieee

ISSN

1089-778X

Type

jour

DOI

10.1109/TEVC.2013.2290082

Filename

6658840