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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Vydané v:	IEEE transactions on evolutionary computation Ročník 18; číslo 1; s. 4 - 19
Hlavní autori:	Mukhopadhyay, Anirban, Maulik, Ujjwal, Bandyopadhyay, Sanghamitra, Coello Coello, Carlos Artemio
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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