Da: Leserstrahl (Preise inkl. MwSt.), Oldenbüttel, Germania
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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
EUR 72,04
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Da: Basi6 International, Irving, TX, U.S.A.
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Da: Basi6 International, Irving, TX, U.S.A.
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Da: Books Puddle, New York, NY, U.S.A.
EUR 93,15
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Aggiungi al carrelloCondizione: New. pp. 176.
Da: Majestic Books, Hounslow, Regno Unito
EUR 94,02
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Aggiungi al carrelloCondizione: New. pp. 176 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 97,31
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Aggiungi al carrelloCondizione: New. pp. 176.
Da: thebookforest.com, San Rafael, CA, U.S.A.
EUR 72,84
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Aggiungi al carrelloCondizione: New. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010.
Editore: Springer Berlin Heidelberg, 2008
ISBN 10: 3540774661 ISBN 13: 9783540774662
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642096158 ISBN 13: 9783642096150
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642096158 ISBN 13: 9783642096150
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.
Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Mär 2008, 2008
ISBN 10: 3540774661 ISBN 13: 9783540774662
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 106,99
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 119,40
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Da: California Books, Miami, FL, U.S.A.
EUR 130,20
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 144,83
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 129,64
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Aggiungi al carrelloHardcover. Condizione: Like New. Like New. book.
Da: Books Puddle, New York, NY, U.S.A.
EUR 153,78
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Aggiungi al carrelloCondizione: New. pp. 176.
Editore: Springer Berlin Heidelberg, 2008
ISBN 10: 3642096158 ISBN 13: 9783642096150
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 152,69
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Aggiungi al carrelloPaperback. Condizione: Brand New. 174 pages. 9.21x6.06x0.47 inches. In Stock.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 104,94
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 105,28
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 167,56
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Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642096158 ISBN 13: 9783642096150
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 92,27
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Assembles high quality original contributions that reflect and advance the state-of-the art in the area of Multi-objective Evolutionary Algorithms for Data Mining and Knowledge DiscoveryEmphasizes on the utility of evolutionary algorithms to vario.
Editore: Springer Berlin Heidelberg, 2008
ISBN 10: 3540774661 ISBN 13: 9783540774662
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 92,27
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Assembles high quality original contributions that reflect and advance the state-of-the art in the area of Multi-objective Evolutionary Algorithms for Data Mining and Knowledge DiscoveryEmphasizes on the utility of evolutionary algorithms to vario.
Editore: Springer Berlin Heidelberg Mrz 2008, 2008
ISBN 10: 3540774661 ISBN 13: 9783540774662
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 176 pp. Englisch.
Editore: Springer Berlin Heidelberg Nov 2010, 2010
ISBN 10: 3642096158 ISBN 13: 9783642096150
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 106,99
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 176 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 158,03
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 176 67 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 162,66
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 176.