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By Robert Nisbet, John Elder, IV and Gary Miner

Approx. 736 pages
Trim size 7 1/2 X 9 1/4 in
Copyright 2009
USD 89.95T, Hardcover, Reference

Expected Release Date: May 2009

T = Price is tentative and subject to change without notice.

Key Features

- Provides key statistical analysis methods
- Clear descriptions of modern algorithms for AI/Machine Learning
- Practical advice from successful real-world implementations
- Extensive case studies, examples, tutorials, MS PowerPoint slides, datasets, and glossary of data mining terminology

The Handbook of Statistical Analysis and Data Mining Applications is a comprehensive professional reference book for business analysts, scientists, engineers and researchers that brings together in a single resource all the information a beginner will need to rapidly learn how to conduct data mining and the statistical analysis required to interpret data patterns once mined.


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

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)

* View Table of Contents

Author Information

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

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Replies to This Discussion

The book has arrived! With a CD, 800+ pages, and a large number of case studies.
Handbook of Statistical Analysis and Data Mining Applications was published May 2009 and is now available at The book includes a cd with a free evaluation of Data Mining Software. Individuals can then practice the examples in the book with software on their own data.


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