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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases (Paperback, Softcover reprint of hardcover 1st ed. 2008) Loot Price: R2,653
Discovery Miles 26 530
Repayment Terms: R249 pm x 12*
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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases (Paperback, Softcover reprint of hardcover 1st...

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases (Paperback, Softcover reprint of hardcover 1st ed. 2008)

Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh

Series: Studies in Computational Intelligence, 98

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Loot Price R2,653 Discovery Miles 26 530 | Repayment Terms: R249 pm x 12*

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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 data from large databases.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Studies in Computational Intelligence, 98
Release date: November 2010
First published: 2008
Editors: Ashish Ghosh • Satchidananda Dehuri • Susmita Ghosh
Dimensions: 235 x 155 x 9mm (L x W x T)
Format: Paperback
Pages: 162
Edition: Softcover reprint of hardcover 1st ed. 2008
ISBN-13: 978-3-642-09615-0
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-09615-8
Barcode: 9783642096150

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