A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I

The aim of any data mining technique is to build an efficient predictive or descriptive model of a large amount of data. Applications of evolutionary algorithms have been found to be particularly useful for automatic processing of large quantities of raw noisy data for optimal parameter setting and...

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Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 18; no. 1; pp. 4 - 19
Main Authors:	Mukhopadhyay, Anirban, Maulik, Ujjwal, Bandyopadhyay, Sanghamitra, Coello Coello, Carlos Artemio
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Association rules Biological cells Classification Construction Data mining Data models Evolutionary Evolutionary algorithms Evolutionary computation feature selection Genetic algorithms Itemsets Mathematical models multiobjective evolutionary algorithms Optimization Pareto optimality Tasks
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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