Exploring this region from a practitioner's perspective, Data Mining with R: Learning with Case Studies using practical examples to illustrate the power of R and data mining. Assuming no prior knowledge of R or data mining / statistical techniques, this book includes a diverse set of problems that lead to different challenges in terms of size, type of data, objective analysis, and analysis tools. For now the main data mining process and techniques, the authors take a hands-on approach that utilizes a series of detailed, real-world case studies: Predicting algal bloom Predicting stock market return Detect fraudulent transactions microarray samples Grouping With case studies, the authors supply all the necessary steps, code, and data. Web Resource A mirror site that supports the approach to do-it-yourself text.