"If you want to learn how to analyze your data with a free software package that has been built by expert statisticians and data miners, this is your book. A broad range of real-world case studies highlights the breadth and depth of the R software." ---Bernhard Pfahringer, University of Waikato, New Zealand Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems tha pose different challenges in terms of size, type of data, goals of analysis, and analytical tools. The author takes a hands-on approach that utilizes a series of detailed, real-world case studies to present the main data mining processes and techniques. With these case studies, the author supplies all the necessary steps, code, and data. A supporting Web site mirrors the do-it-yourself approach of the text. It offers a collection of freely avaiable R source files that encompass all the code used in the case studies. The site also provides the datasets from the case studies as well as an R package of several functions.

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