Introduction to Data Mining and its Applications (Studies in Computational Intelligence, 29)

Sumathi, S.; Sivanandam, S.N.

ISBN 10: 3540343504 ISBN 13: 9783540343509

Editorial: Springer, 2006

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Sinopsis:

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization.

De la contraportada:

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.

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Detalles bibliogr�ficos

T�tulo: Introduction to Data Mining and its ...
Editorial: Springer
A�o de publicaci�n: 2006
Encuadernaci�n: Encuadernaci�n de tapa dura
Condici�n: New

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Introduction to Data Mining and its Applications

S. Sumathi|S.N. Sivanandam

Publicado por Springer Berlin Heidelberg, 2006

ISBN 10: 3540343504 ISBN 13: 9783540343509

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores the concepts of data mining and data warehousingGive a broad, yet in-depth overview of the field of data miningIntended for a wide audience of readers who are not necessarily expertsIncludes supplementary material: sn.pu. N� de ref. del art�culo: 4888077

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Introduction to Data Mining and its Applications

S. Sumathi (u. a.)

Publicado por Springer, 2006

ISBN 10: 3540343504 ISBN 13: 9783540343509

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Introduction to Data Mining and its Applications (Studies in Computational Intelligence, 29)

Sumathi, S.; Sivanandam, S.N.

Publicado por Springer, 2006

ISBN 10: 3540343504 ISBN 13: 9783540343509

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Introduction to Data Mining and its Applications

S. N. Sivanandam

Publicado por Springer Berlin Heidelberg, 2006

ISBN 10: 3540343504 ISBN 13: 9783540343509

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Buch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining. N� de ref. del art�culo: 9783540343509

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Introduction to Data Mining and its Applications

S. N. Sivanandam

Publicado por Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 2006, 2006

ISBN 10: 3540343504 ISBN 13: 9783540343509

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Buch. Condici�n: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 852 pp. Englisch. N� de ref. del art�culo: 9783540343509

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Introduction to Data Mining and its Applications

S. N. Sivanandam

Publicado por Springer Berlin Heidelberg Sep 2006, 2006

ISBN 10: 3540343504 ISBN 13: 9783540343509

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Buch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, artificial intelligence, machine learning, neural networks, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. 852 pp. Englisch. N� de ref. del art�culo: 9783540343509

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