By Robert Nisbet, John Elder, IV and Gary Miner
Approx. 736 pages
Trim size 7 1/2 X 9 1/4 in
USD 89.95T, Hardcover, Reference
Availability: NOT YET PUBLISHED
Expected Release Date: May 2009
T = Price is tentative and subject to change without notice.
- 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)
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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
Pre-order at http://www.elsevierdirect.com/product.jsp?isbn=9780123747655