Machine Learning Data Mining by Igor Kononenko (4 results)

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  • Language: English

    Published by Woodhead Publishing, 2007

    1904275214 / 9781904275213

    • Softcover

    Seller: BookResQ., West Valley City, UT, U.S.A.BookResQ.

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    Condition: Used - Good

    US$ 65.00

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    Quantity: 1 available

    paperback. Condition: Good. Ex-library book with typical stickers and stampings. Priority Mail is available on this item. No international shipping.

  • Language: English

    Published by Woodhead Publishing, 2007

    1904275214 / 9781904275213

    • Softcover

    Seller: Phatpocket Limited, Waltham Abbey, HERTS, United KingdomPhatpocket Limited

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    Condition: Used - Good

    US$ 88.10

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    Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

  • Language: English

    Published by Elsevier Science & Technology, Woodhead Publishing, 2007

    1904275214 / 9781904275213

    • Softcover
    • Print on Demand

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Condition: New

    US$ 92.11

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    Taschenbuch. 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.…

  • Language: English

    Published by Elsevier Science & Technology, Woodhead Publishing, 2007

    1904275214 / 9781904275213

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Condition: New

    US$ 108.54

    US$ 39.64 shipping 
    Ships from Germany to U.S.A.

    Quantity: 2 available

    Taschenbuch. 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.…