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Handbook of Statistical Analysis and Data Mining Applications |  | Authors: Robert Nisbet, John Elder IV, Gary Miner
Publisher: Academic Press
List Price: $89.95
Buy New: $54.98
as of 11/21/2009 14:56 CST details
You Save: $34.97 (39%)
New (27) Used (7) from $54.98
Seller: Textbook_TBS
Rating:  9 reviews
Sales Rank: 29669
Media: Hardcover
Edition: Har/DVD
Pages: 864
Number Of Items: 1
Shipping Weight (lbs): 3.4
Dimensions (in): 9.3 x 7.8 x 1.5
ISBN: 0123747651
Dewey Decimal Number: 006.312
EAN: 9780123747655
ASIN: 0123747651
Publication Date: June 5, 2009
Availability: Usually ships in 1-2 business days
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Product 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.
- Written "By Practitioners for Practitioners"
- Non-technical explanations build understanding without jargon and equations
- Tutorials in numerous fields of study provide step-by-step instruction on how to use supplied tools to build models using Statistica, SAS and SPSS software
- Practical advice from successful real-world implementations
- Includes extensive case studies, examples, MS PowerPoint slides and datasets
- CD-DVD with valuable fully-working 90-day software included: "Complete Data Miner - QC-Miner - Text Miner" bound with book
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| Customer Reviews:
Showing reviews 1-5 of 9
 A book with advertising software. August 4, 2009
Daniel (Uruguay)
3 out of 16 found this review helpful
Who usually practice datamining, is a book that does not provide insight on the matter. Only show pages and more pages about statistical packages without any critical view of them. My experience...I will never buy a book sponsored by software companies.
 The first great book for data mining practitioners July 24, 2009
David S. Vogel (Orlando, FL USA)
2 out of 2 found this review helpful
Finally... a great book for data mining practitioners without all the flashy statistical formulas.
This book is one that every data miner should own, whether a beginner or an expert. The focus is on solving real world problems, giving examples using screen shots from widely used data mining software.
Key data mining concepts are covered, everything from pre-processing to state-of-the-art modeling techniques including bagging and boosting... and explained in plain English.
For those more experienced modelers, one of the final sections has a great explanation of model complexity and how ensembles really work.
This book can be useful for researchers, but is a "must have" for every data mining practitioner.
Long Overdue July 12, 2009
Colleen McCue (Virginia, United States)
6 out of 6 found this review helpful
Rarely do authors succeed in writing THE comprehensive guide to anything, particularly when the subject matter is as complex, multifaceted and rapidly changing as the field of data mining. The Handbook of Statistical Analysis & Data Mining Applications far exceeds that worthy goal. The text is well organized, thoughtfully written and intuitive. The authors' comfortable style and examples from their own experience make even the most opaque concepts understandable and accessible. By following the CRISP-DM model and incorporating screen shots from the leading data mining platforms, the authors have written an invaluable text that incorporates both industry best practices and best-in-breed technology. Moreover, the math and science behind the concepts and methods are accurate and well-referenced; something missing in the junk science that so frequently passes for "advanced analytics." In successfully integrating these features, the Handbook excels as both a comprehensive teaching text and easy reference that will be used frequently by students and professionals alike. The Handbook of Statistical Analysis & Data Mining Applications is long overdue and certain to become THE comprehensive guide and a classic in our field.
Excellent - not difficult to read/keep my attention June 30, 2009
Michael Christiani
3 out of 3 found this review helpful
An easy read and easy to comprehend; especially found Chapter 20 "Top 10 Data Mining Mistakes" to be particularly enlightening and helpful!
I really liked this book June 27, 2009
Anonymous (Nunya, USA (business address))
7 out of 7 found this review helpful
I had experience with many of the statistical tools that fall under the heading of data mining. There are good books on GAMs and so on. What I like about this book is that it embeds those methods in a broader context, that of the philosophy and structure of data mining writ large, especially as the methods are used in the corporate world. To me, it was really helpful in thinking like a data miner, especially as it involves the mix of science and art.
I also had no experience with Statistica Data Miner but have been very impressed with the program relative to those that are less well documented (WEKA) and too darned expensive (SAS EM)
The richness of the examples is so helpful.
Showing reviews 1-5 of 9
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