Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II

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 evoluti...

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Veröffentlicht in:IEEE transactions on evolutionary computation Jg. 18; H. 1; S. 20 - 35
Hauptverfasser: Mukhopadhyay, Anirban, Maulik, Ujjwal, Bandyopadhyay, Sanghamitra, Coello, Carlos A. Coello
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.02.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Association rule mining
Association rules
biclustering
Biological cells
Classification
Clustering
Clustering algorithms
Data mining
Encoding
ensemble learning
Evolutionary algorithms
Indexes
Linear programming
multiobjective evolutionary algorithms
Tasks
ISSN:1089-778X, 1941-0026
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
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ISSN:1089-778X
1941-0026
DOI:10.1109/TEVC.2013.2290082