|  | Authors: Robert Nisbet, John Elder IV, Gary Miner
Publisher: Academic Press
List Price: $89.95
Buy New: $65.32
as of 11/24/2009 00:33 CST details
You Save: $24.63 (27%)
New (25) Used (7) from $65.32
Seller: premiertexts
Rating:  9 reviews
Sales Rank: 21373
Languages: English (Original Language), English (Unknown), English (Published)
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
Condition: New Book, Hardcover. Same Edition As Amazon's Description! Never Been Read! Buy Now!
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| Customer Reviews:
Showing reviews 6-9 of 9
 At last, a useable data mining book June 23, 2009
M. joanTretter (College Station, TX United States)
6 out of 6 found this review helpful
This is one of the few, of many, data mining books that delivers what it promises. It promises many detailed examples and cases. The companion DVD has detailed cases and also has a real 90 day trial copy of Statistica. I have taught data mining for over 10 years and I know it is very difficult to find comprehensive cases that can be used for classroom examples and for students to actually mine data. The price of the book is also very reasonable expecially when you compare the quantity and quality of the material to the typical intro stat book that usually costs twice as much as this data mining book.
The book also addresses new areas of data mining that are under development. Anyone that really wants to understand what data mining is about will find this book infinetly useful.
The top data mining text on the market June 18, 2009
Joseph Hilbe (Florence, AZ United States)
13 out of 13 found this review helpful
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.
Excellent! June 17, 2009
Kyle A. Miller (Tulsa, OK)
4 out of 5 found this review helpful
This book is great for both the beginner and the expert. Truly a must have for any data mining professional.
Excellent Source June 16, 2009
Joseph Somma (Buffalo, NY)
12 out of 12 found this review helpful
This is an extraordinary book. So often within this field books are offered as bibles only to fall short. This book does not and delivers a wide array of information and useful tips for the beginner and veteran data miner.
Prior efforts to write a data mining bible have been limited to particular software. Statistical Analysis and Data Mining provides examples from a multitude of data mining software. The examples provided are concise and easy to follow.
Chapter 20, Top 10 Data Mining Mistakes, was one of my favorites. It provided a concise discussion of pitfalls all miners should be aware of and guard against.
Finally, the tutorials (Section III), provide a substantial review of the mining process. The 13 examples cover a wide range of problems and will imbue the reader with a good sense of how data mining works in different scenarios.
Statistical Analysis and Data Mining should be an essential component of every data miner's library.
Showing reviews 6-9 of 9
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