A Practical Guide to Data Mining for Business and Industry
Nonfiction, Science & Nature, Mathematics, Statistics
| Author: | Andrea Ahlemeyer-Stubbe, Shirley Coleman | ISBN: | 9781118763377 |
| Publisher: | Wiley | Publication: | March 31, 2014 |
| Imprint: | Wiley | Language: | English |
| Author: | Andrea Ahlemeyer-Stubbe, Shirley Coleman |
| ISBN: | 9781118763377 |
| Publisher: | Wiley |
| Publication: | March 31, 2014 |
| Imprint: | Wiley |
| Language: | English |
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.
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.
