Description

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.

A Practical Guide to Data Mining for Business and Industry

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£58.95

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Hardback by Andrea Ahlemeyer-Stubbe , Shirley Coleman

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Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 13/05/2014
    ISBN13: 9781119977131, 978-1119977131
    ISBN10: 1119977134

    Number of Pages: 328

    Non Fiction , Business, Finance & Law

    Description

    Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.

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