Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases: 98 - Rilegato

 
9783540774662: Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases: 98
Rilegato
ISBN 10: 3540774661 ISBN 13: 9783540774662
Casa editrice: Springer Nature, 2008

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2008
Lingua
Inglese
ISBN 10 
3540774661
ISBN 13 
9783540774662
Rilegatura
Copertina rigida
Numero di pagine
159
Redattore
Ghosh Ashish, Dehuri Satchidananda, Ghosh Susmita
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
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Altre edizioni note dello stesso titolo

9783642096150: Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases: 98

Edizione in evidenza

ISBN 10:  3642096158 ISBN 13:  9783642096150
Casa editrice: Springer, 2010
Brossura