{
"item_title" : "A Practical Guide to Data Mining for Business and Industry",
"item_author" : [" Andrea Ahlemeyer-Stubbe", "Shirley Coleman "],
"item_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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A Practical Guide to Data Mining for Business and Industry
Overview
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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Details
- ISBN-13: 9781119977131
- ISBN-10: 1119977134
- Publisher: Wiley
- Publish Date: May 2014
- Dimensions: 9.1 x 6 x 0.9 inches
- Shipping Weight: 1.2 pounds
- Page Count: 328
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