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Books > Computing & IT > Applications of computing > Databases

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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases (Hardcover, 2008 ed.) Loot Price: R2,969

Discovery Miles 29 690

Repayment Terms: R278 pm x 12*

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Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases (Hardcover, 2008 ed.): Ashish Ghosh,...

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases (Hardcover, 2008 ed.)

Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh

Series: Studies in Computational Intelligence, 98

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Loot Price R2,969 Discovery Miles 29 690 | Repayment Terms: R278 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:	March 2008
First published:	May 2008
Editors:	Ashish Ghosh • Satchidananda Dehuri • Susmita Ghosh
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Hardcover
Pages:	162
Edition:	2008 ed.
ISBN-13:	978-3-540-77466-2
Categories:	Books > Computing & IT > Applications of computing > Databases > General Promotions
LSN:	3-540-77466-1
Barcode:	9783540774662