Handbook of Statistical Analysis and Data Mining Applications

By
Robert Nisbet, Pacific Capital Bank Corporation, Santa Barbara, CA, USA
John Elder, Elder Research, Inc. and the University of Virginia, Charlottesville, USA
Gary Miner, StatSoft, Inc., Tulsa, OK, USA

Description
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.



Audience:
Business analysts, scientists, engineers, researchers, and students in statistics and data mining



From the back cover:

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 practical solutions. Using the methods of this book produces new KNOWLEDGE that facilitates DECISIONS which lead to ACTIONS that result in SUCCESS.

About the Author:

Robert Nisbet, John Elder, and Gary Miner have been University professors (in Biology, Engineering, and Medicine, respectively) and are skilled at making complex topics understandable. But what makes this book so unique and useful is their combined century of experience in industry –– where making analytic techniques on an astonishing array of challenges has saved their clients and sponsors tens of millions of dollars.