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Published by Elsevier Science & Technology, 2007
ISBN 10: 1904275214 ISBN 13: 9781904275213
Language: English
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.6.
Published by Woodhead Publishing Limited, 2007
ISBN 10: 1904275214 ISBN 13: 9781904275213
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
US$ 97.33
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Add to basketCondition: New. pp. xix + 454 Illus.
Published by Woodhead Publishing Limited, 2007
ISBN 10: 1904275214 ISBN 13: 9781904275213
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. xix + 454.
Published by Elsevier Science & Technology, 2007
ISBN 10: 1904275214 ISBN 13: 9781904275213
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 109.85
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 760.
Published by Woodhead Publishing Limited, 2007
ISBN 10: 1904275214 ISBN 13: 9781904275213
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
US$ 119.29
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Add to basketCondition: New. pp. xix + 454.
Published by Elsevier Science & Technology, Woodhead Publishing, 2007
ISBN 10: 1904275214 ISBN 13: 9781904275213
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
US$ 95.02
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining.Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions. Englisch.
Published by Elsevier Science & Technology|Woodhead Publishing, 2007
ISBN 10: 1904275214 ISBN 13: 9781904275213
Language: English
Seller: moluna, Greven, Germany
US$ 99.19
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. An introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining, this text is suitable for advanced undergraduates, postgraduates and tutors in a wide area of computer science and technology, as well .
Published by Elsevier Science & Technology, Woodhead Publishing, 2007
ISBN 10: 1904275214 ISBN 13: 9781904275213
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 107.09
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining.Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions.