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Applied Data Mining for Business and Industry (2ND 09 Edition)by Paolo Giudici
Synopses & ReviewsPublisher Comments:Provides an introduction to data mining methods and applications, in a consistent statistical framework. Based upon extensive market research undertaken by the Author the text has been restructured and revised to include 70% new material. Promises to be THE book for professional looking to implement data mining techniques in their business. Includes coverage of classical, multivariate and Bayesian statistical methodology. Uses detailed case studies to illustrate the theory and methodology. Case studies are taken from a range of industries and applications including viticulture, operational risk, genomics and pay-TV services (Sky). Written in an accessible style, aimed at an audience with a basic knowledge of statistics. Discusses the software used in data mining, specifically focusing on SAS, and is supported by a web site featuring data sets, software, and additional material Includes an extensive bibliography and reference section, with suggestions for further reading. Synopsis:This new edition sees the inclusion of 70% new material, including eight new case studies, that brings this best selling title up to date with the many advances made in the field since its original publication. In the text all the methods described are either computational or of a statistical modelling nature; complex probabilistic models and mathematical tools are not used, so the book is accessible to a wide audience of both students and industry professionals. A number of case studies are explored, taken from Giudici’s own applied work in industry, that demonstrate how the methods described can be applied to real problems. The book is supported by website featuring data sets, software and additional material. What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
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