The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook helps one discern the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and employ the right statistical methods for practical application. Use this book to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques, and discusses their application to real problems, in ways accessible and beneficial to practitioners across industries - from science and engineering, to medicine, academia and commerce. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build successful data mining solutions. Written "By Practitioners for Practitioners" Non-technical explanations build understanding without jargon and equations Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models using Statistica, SAS and SPSS software Practical advice from successful real-world implementations Includes extensive case studies, examples, MS PowerPoint slides and datasets CD-DVD with valuable fully-working  90-day software included:  "Complete Data Miner - QC-Miner - Text Miner" bound with book "I strongly resonated to the Top 10 Data Mining mistakes.... There is a wealth of material in this handbook that will repay study." - Peter Lachenbruch, Oregon State U., Past President, American Statistical Society (from Foreword 1) Data mining practitioners, here is your bible, the complete "driver's manual" for data mining. From starting the engine to handling the curves, this book covers the gamut of data mining techniques - including predictive analytics and text mining - illustrating how to achieve maximal value across business, scientific, engineering and medical applications. What are the best practices through each phase of a data mining project? How can you avoid the most treacherous pitfalls? The answers are in here. Going beyond its responsibility as a reference book, this resource also provides detailed tutorials with step-by-step instructions to drive established data mining software tools across real world applications. This way, newcomers start their engines immediately and experience hands-on success. If you want to roll-up your sleeves and execute on predictive analytics, this is your definite, go-to resource. To put it lightly, if this book isn't on your shelf, you're not a data miner. - Eric Siegel, Ph.D., President, Prediction Impact, Inc. and Founding Chair, Predictive Analytics World "Great introduction to the real-world process of data mining. The overviews, practical advise, tutorials, and extra CD material make this book an invaluable resource for both new and experienced data miners." -- Karl Rexer, PhD (President & Founder of Rexer Analytics, Boston, Massachusetts) ... a valuable resource... The book's straightforward style--it presents intuitive explanations and avoids rigorous mathematical formulations--makes difficult concepts accessible to a broad audience.-ACM Computing Reviews "...an exceptional book that should be on every data miner's bookshelf, or better yet, found lying open next to the computer." Dean Abbott, Abbott Analytics --from Foreword 2 "...If you want to roll-up your sleeves and execute on predictive analytics, this is your definite, go-to resource. To put it lightly, if this book isn't on your shelf, you're not a data miner." - Eric Siegel, Ph.D., President, Prediction Impact, Inc. and Founding Chair, Predictive Analytics World “Great introduction to the real-world process of data mining. The overviews, practical advice, tutorials, and extra CD material make this book an invaluable resource for both new and experienced data miners.” -- Karl Rexer, PhD (President & Founder of Rexer Analytics, Boston, Massachusetts) The essential professional reference for data mining applications and statistical analysis Tutorials employ leading software tools including STATISTICA Data Miner, SPSS Clementine, and SAS Enterprise Miner -- and show practitioners how to solve real-world data mining challenges in a wide variety of fields, including sales, medical diagnosis, finance, aviation engineering, marketing, banking, pharmaceutical discovery, industrial control, weather forecasting, clinical psychology, ecology, astronomy, and social networks. This handbook brings together, in a single resource, all the information a beginner will need to understand the tools and issues in data mining to build practic