A Practical Guide to Data Mining by Andrea Ahlemeyer-Stubbe (.PDF)

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File Size: 6 MB

A Practical Guide to Data Mining for Business and Industry by Andrea Ahlemeyer-Stubbe (Author), Shirley Coleman (Author)
Requirements: .PDF reader, 6 MB
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.
Genre: Non-Fiction > Tech & Devices

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