Practical Data Mining

Intended for those who need a practical guide to proven and up-to-date data mining techniques and processes, this book covers specific problem genres. With chapters that focus on application specifics, it allows readers to go to material relevant to their problem domain. Each section starts with a chapter-length roadmap for the given problem domain. This includes a checklist/decision-tree, which allows the reader to customize a data mining solution for their problem space. The roadmap discusses the technical components of solutions.