Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases: 98 (Studies in Computational Intelligence) - Tapa dura

 
9783540774662: Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases: 98 (Studies in Computational Intelligence)
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ISBN 10: 3540774661 ISBN 13: 9783540774662
Editorial: Springer, 2008

Sinopsis

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.

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De la contraportada

Data Mining (DM) is the most commonly used name to describe such computational analysis of data and the results obtained must conform to several objectives such as accuracy, comprehensibility, interest for the user etc. Though there are many sophisticated techniques developed by various interdisciplinary fields only a few of them are well equipped to handle these multi-criteria issues of DM. Therefore, the DM issues have attracted considerable attention of the well established multiobjective genetic algorithm community to optimize the objectives in the tasks of DM.

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.

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Editorial
Springer
Año de publicación
2008
Idioma
Inglés
ISBN 10 
3540774661
ISBN 13 
9783540774662
Encuadernación
Tapa dura
Número de páginas
176
Editor
Ghosh Ashish, Dehuri Satchidananda, Ghosh Susmita
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
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Hamburg
Alemania

Otras ediciones populares con el mismo título

9783642096150: Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases: 98 (Studies in Computational Intelligence)

Edición Destacada

ISBN 10:  3642096158 ISBN 13:  9783642096150
Editorial: Springer, 2010
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