Quality Measures in Data Mining - Couverture rigide

9783540449119: Quality Measures in Data Mining

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ISBN 10 : 3540449116 ISBN 13 : 9783540449119

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 2007

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This book presents recent advances in quality measures in data mining.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

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This book presents recent advances in quality measures in data mining.

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

�diteur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Date d'�dition: 2007
Langue: anglais
ISBN 10: 3540449116
ISBN 13: 9783540449119
Reliure: Reli�
Nombre de pages: 328
�diteur: Guillet Fabrice, Hamilton Howard J.
Coordonn�es du fabricant: non disponible
Personne responsable: CMN Printpool Inh. Mathis Neumann
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Quality Measures in Data Mining (Studies in Computational Intelligence, 43)

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ISBN 10 : 3540449116 ISBN 13 : 9783540449119

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Quality Measures in Data Mining (Studies in Computational Intelligence, 43)

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ISBN 10 : 3540449116 ISBN 13 : 9783540449119

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Quality Measures in Data Mining

Fabrice Guillet

Edit� par Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007

ISBN 10 : 3540449116 ISBN 13 : 9783540449119

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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 -Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a human user, who may be a decision-maker or a data-analyst. The user is confronted with the task of selecting the pieces of knowledge that are of the highest quality or interest according to his or her preferences. Since this selection is sometimes a daunting task, designing quality and interestingness measures has become an important challenge for data mining researchers in the last decade.This volume presents the state of the art concerning quality and interestingness measures for data mining. The book summarizes recent developments and presents original research on this topic. The chapters include surveys, comparative studies of existing measures, proposals of new measures, simulations, and case studies. Both theoretical and applied chapters are included. Papers for this book were selected and reviewed for correctness and completeness by an international review committee. 314 pp. Englisch. N� de r�f. du vendeur 9783540449119

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Quality Measures in Data Mining

Guillet, Fabrice|Hamilton, Howard J.

Edit� par Springer Berlin Heidelberg, 2007

ISBN 10 : 3540449116 ISBN 13 : 9783540449119

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents recent advances in quality measures in data mining.|Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and . N� de r�f. du vendeur 4891074

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Quality Measures in Data Mining

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ISBN 10 : 3540449116 ISBN 13 : 9783540449119

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Etat : New. pp. 328. N� de r�f. du vendeur 26482215

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Quality Measures in Data Mining

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ISBN 10 : 3540449116 ISBN 13 : 9783540449119

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Etat : New. Print on Demand pp. 328 Illus. N� de r�f. du vendeur 7398520

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Quality Measures in Data Mining

Fabrice Guillet

Edit� par Springer, Berlin, Springer, 2007

ISBN 10 : 3540449116 ISBN 13 : 9783540449119

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Data mining analyzes large amounts of data to discover knowledge relevant to decision making. Typically, numerous pieces of knowledge are extracted by a data mining system and presented to a human user, who may be a decision-maker or a data-analyst. The user is confronted with the task of selecting the pieces of knowledge that are of the highest quality or interest according to his or her preferences. Since this selection is sometimes a daunting task, designing quality and interestingness measures has become an important challenge for data mining researchers in the last decade.This volume presents the state of the art concerning quality and interestingness measures for data mining. The book summarizes recent developments and presents original research on this topic. The chapters include surveys, comparative studies of existing measures, proposals of new measures, simulations, and case studies. Both theoretical and applied chapters are included. Papers for this book were selected and reviewed for correctness and completeness by an international review committee. N� de r�f. du vendeur 9783540449119

Contacter le vendeur