A practical guide to data mining for business and industry / Andrea Ahlemeyer-Stubbe, Shirley Coleman. [electronic resource] Ahlemeyer-Stubbe, Andrea. Data mining. Marketing Data processing. Management Mathematical models. HF5415.125 006.3/12 23 Includes bibliographical references and index. Print version record and CIP data provided by publisher. "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."-- Unedited summary from book. 2014 Text 1 online resource. http://onlinelibrary.wiley.com/book/10.1002/9781118763704 eng Practical guide to data mining for business and industry. Practical guide to data mining for business and industry.