A Practical Guide to Data Mining for Business and Industry

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John Wiley & Sons, May 12, 2014 - Mathematics - 324 pages

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 the author (2014)

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

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