A Practical Guide to Data Mining for Business and Industry
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Beschreibung
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.
Autor*in
Andrea Ahlemeyer-Stubbe
Themen in »A Practical Guide to Data Mining for Business and Industry«
Computer Science Data Mining Data Mining Statistics Database & Data Warehousing Technologies Datenbanken u. Data Warehousing Finanz- u. Wirtschaftsstatistik Informatik Statistics Statistics for Finance, Business & Economics Statistik
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"A Practical Guide to Data Mining for Business andIndustrygives practical tools on how information can be extractedfrom masses of data. The book is very well written, in aconversational tone that makes it enjoyable to read. The authorsare excellent communicators. If you are interested in learningabout data mining, learning to do a particular task in data mining,looking for a textbook to use in a data mining or analytics course,or have a problem or data analytic task you are working on, thisbook would be an excellent place to start." (Mathematical Association of America, 23 August 2014)
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