DocumentCode :
87416
Title :
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
Link To Document :
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