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parsed(2014-05-12) - pubdate: 2014-05-12
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pub date: 1399870800
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A Practical Guide to Data Mining for Business and Industry

May 12, 2014 | Hardcover
ISBN: 9781119977131
$113.95
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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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About this Author

Andrea Ahlemeyer-Stubbe, Director Strategic Analytics, DRAFTFCB München GmbH, Germany

Shirley Coleman, Principal Statistician, Industrial Statistics Research Unit, School of Maths and Statistics, Newcastle University, UK

ISBN: 9781119977131
Format: Hardcover
Pages: 328
Publisher: Wiley, Wiley
Published: 2014-05-12

Reviews

"A Practical Guide to Data Mining for Business and Industrygives practical tools on how information can be extracted from masses of data. The book is very well written, in a conversational tone that makes it enjoyable to read. The authors are excellent communicators. If you are interested in learning about data mining, learning to do a particular task in data mining, looking for a textbook to use in a data mining or analytics course, or have a problem or data analytic task you are working on, this book would be an excellent place to start."  (Mathematical Association of America, 23 August 2014)

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