Optimization Based Data Mining: Theory and Applications

Yong Shi (u. a.)

ISBN 10: 0857295039 ISBN 13: 9780857295033

Edit� par Springer, 2011

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Synopsis :

Optimization techniques have been widely adopted to implement various data mining algorithms. This book focuses on cutting-edge theoretical developments and real-life applications in optimization, covering a range of fields from finance to bioinformatics.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

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Titre : Optimization Based Data Mining: Theory and ...
�diteur : Springer
Date d'�dition : 2011
Reliure : Buch
Etat : Neu

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Optimization Based Data Mining: Theory and Applications

Yong Shi, Yingjie Tian, Jianping Li, Yi Peng, Gang Kou

Edit� par Springer London, 2011

ISBN 10 : 0857295039 ISBN 13 : 9780857295033

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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 332 | Sprache: Englisch | Produktart: B�cher. N� de r�f. du vendeur 10325360/12

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Optimization Based Data Mining: Theory and Applications

Yong Shi|Yingjie Tian|Gang Kou|Yi Peng|Jianping Li

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ISBN 10 : 0857295039 ISBN 13 : 9780857295033

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces MCLP for data mining intuitively, systemically and comprehensivelyOffers classification problems and regression problems which are the two main components of data miningConstructs SVM s for solving multi-class classification prob. N� de r�f. du vendeur 5979330

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Optimization Based Data Mining: Theory and Applications (Advanced Information and Knowledge Processing)

Shi, Yong; Tian, Yingjie; Kou, Gang; Peng, Yi; Li, Jianping

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ISBN 10 : 0857295039 ISBN 13 : 9780857295033

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Optimization Based Data Mining : Theory and Applications

Shi, Yong; Tian, Yingjie; Kou, Gang; Peng, Yi; Li, Jianping

Edit� par Springer, 2011

ISBN 10 : 0857295039 ISBN 13 : 9780857295033

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Optimization Based Data Mining: Theory and Applications

Yong Shi

Edit� par Springer London, Springer London Mai 2011, 2011

ISBN 10 : 0857295039 ISBN 13 : 9780857295033

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Buch. Etat : Neu. Neuware -Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining.Optimization based Data Mining: Theory and Applications, mainly focuses on MCP and SVM especially their recent theoretical progress and real-life applications in various fields. These include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery.Most of the material in this book is directly from the research and application activities that the authors� research group has conducted over the last ten years. Aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 332 pp. Englisch. N� de r�f. du vendeur 9780857295033

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Optimization Based Data Mining: Theory and Applications

Yong Shi

Edit� par Springer London Mai 2011, 2011

ISBN 10 : 0857295039 ISBN 13 : 9780857295033

Neuf Couverture rigide

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining. Optimization based Data Mining: Theory and Applications, mainly focuses on MCP and SVM especially their recent theoretical progress and real-life applications in various fields. These include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery.Most of the material in this book is directly from the research and application activities that the authors' research group has conducted over the last ten years. Aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems. 332 pp. Englisch. N� de r�f. du vendeur 9780857295033

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Optimization Based Data Mining: Theory and Applications

Yong Shi

Edit� par Springer London, Springer London, 2011

ISBN 10 : 0857295039 ISBN 13 : 9780857295033

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining. Optimization based Data Mining: Theory and Applications, mainly focuses on MCP and SVM especially their recent theoretical progress and real-life applications in various fields. These include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery.Most of the material in this book is directly from the research and application activities that the authors' research group has conducted over the last ten years. Aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems. N� de r�f. du vendeur 9780857295033

Contacter le vendeur