Ahlemeyer-Stubbe, Andrea
A Practical Guide to Data Mining for Business and Industry
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.
Keywords: practical data mining, machine learning, business intelligence, applied data mining, data mining applications, data mining methods, data mining how to, data mining for business
- Author(s)
- Ahlemeyer-Stubbe, Andrea
- Coleman, Shirley
- Publisher
- John Wiley and Sons, Inc.
- Publication year
- 2014
- Language
- en
- Edition
- 1
- Imprint
- Wiley
- Page amount
- 328 pages
- Category
- Natural Sciences
- Format
- Ebook
- eISBN (ePUB)
- 9781118763377
- Printed ISBN
- 9781119977131