Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

by Susmita Ghosh and Satchidananda Dehuri

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Book Overview

The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading experts around the world. It is shown how the different MOEAs can be utilized, both in individual and integrated manner, in various ways to efficiently mine...

Format:Hardcover

Language:English

ISBN:3540774661

ISBN13:9783540774662

Release Date:March 2008

Publisher:Springer

Length:162 Pages

Weight:0.94 lbs.

Dimensions:0.4" x 6.1" x 9.2"

Related Subjects

Computers Computers & Technology Engineering Math Mathematics Science & Math Technology

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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

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