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
