Handbook of statistical analysis and data mining applications

History of phases of data analysis, basic theory, and the data mining process --
The algorithms in data mining and text mining, the organization of the three most common data mining tools, and selected specialized areas using data mining --
Tutorials--step-by-step case studies as a starting point to learn how to do data mining analyses --
Measuring true complexity, the "right model for the right use," top mistakes, and the future of analytics.

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, 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 users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want 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 several areas-from science and engineering, to medicine, academia and commerce.