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Handbook of Statistical Analysis and Data Mining Applications
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(Hardcover - June 5, 2009)
by Robert Nisbet
Sales Rank: 30387
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List Price: $89.95
$71.23
At Amazon

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Hardcover: 864 pages
Publisher: Academic Press; Har/DVD edition June 5, 2009
Language: English
ISBN-10: 0123747651
ISBN-13: 978-0123747655
Product Dimensions:
9.3 x 7.8 x 1.5 inches
Shipping Weight: 3.4 pounds
Review
" I strongly resonated to the Top 10 Data Mining mistakes. There is a wealth of material in this handbook that will repay study."
- Peter Lachenbruch, Oregon State U., Past President, American Statistical Society (from Foreword 1)
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)
a valuable resource The book's straightforward style--it presents intuitive explanations and avoids rigorous mathematical formulations--makes difficult concepts accessible to a broad audience.-ACM Computing Reviews
"an exceptional book that should be on every data miner's bookshelf, or better yet, found lying open next to the computer."
Dean Abbott, Abbott Analytics --from Foreword 2
Customer Reviews & Comments The "Handbook of Statistical Analysis & Data Mining Applications" is the finest book I have seen on the subject. It is not only a beautifully crafted book, with numerous color graphs, chart, tables, and screen shots, but the statistical discussion is both clear and comprehensive.
The text does not use only one statistical data mining application to display examples, but provides a rather thorough training in the use of both SAS-Enterprise Miner and STATISTICA Data Miner. A section on SPSS Clementine is also provided, giving comparisons between the various packages. Also employed are STATISTICA's C&RT, CHAID, MARSpline, and other data mining and graphical analytic tools.
The text does not burden the typical data mining researcher with the internals of how the various tools work. It is therefore not steeped in equations. Some are to be found, of course, but the emphasis is on understanding the concepts involved and on how to apply these concepts to real data - which is provided to the reader in terms of data tutorials. Specialized datasets have been prepared by both authors and outside experts in various areas of inquiry ranging from entertainment, financial, engineering, clinical psychology, dentistry, demographics, medical informatics, meteorology, astronomy, and more. Each tutorial is associated with data stored on either the associated CD that comes with the book, or which can be downloaded from a companion web site. Worked out examples of how to use data mining techniques on such data is provided to help the reader gain a solid feel for the data mining enterprise. The final third of the book is devoted to a partial selection of the available tutorials. The two earlier chapters demonstrate how to use data mining software for the analysis of data.
I highly recommend this work to anyone having an interest in data mining. I might also add that the Amazon price of $72.37 is truly excellent for an 864 page academic text, having full color tables and screen shots on some one-third of the pages, plus a CD. A bargain indeed.
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Handbook of Statistical Analysis and Data Mining Applications
List Price: $89.95
Available from Amazon
Price: $71.23

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