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Data Mining with Microsoft SQL Server 2008 |  | Authors: Jamie MacLennan, ZhaoHui Tang, Bogdan Crivat Publisher: Wiley Category: Book
List Price: $50.00 Buy New: $18.39 as of 7/30/2010 03:50 CDT details You Save: $31.61 (63%)
New (33) Used (23) from $18.39
Seller: -hungrybookworm Rating: 8 reviews Sales Rank: 95615
Media: Paperback Pages: 672 Number Of Items: 1 Shipping Weight (lbs): 2.1 Dimensions (in): 9.1 x 7.3 x 1.6
ISBN: 0470277742 Dewey Decimal Number: 005.7585 EAN: 9780470277744 ASIN: 0470277742
Publication Date: November 17, 2008 Availability: Usually ships in 1-2 business days
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Product Description Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve business analysis problems.
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Showing reviews 1-5 of 8
Data Mining with Microsoft SQL Server 2008 December 5, 2009 Patricia Carter 2 out of 2 found this review helpful
This is an excellent book for beginner to expert. Contains tons of relevant information. Could have been more detailed for the beginner, but authors did as well as possible without having to write a multi-volume version. Mid level to expert users should have no problem understanding the examples and solutions used in the book. I strongly recommend this book.
Data Mining with Microsoft SQL Server 2008 June 8, 2009 Dr. J (Santa Fe) 1 out of 7 found this review helpful
The number of stars may be unfair but for my purposes the book was not sufficiently elementary to get started. I have SQL Server 2008 loaded on my laptop with the Integration Services but I cannot tell from the tutorials that came with SQL Server how to get started building a data base and then using data mining techniques on it. The book mentions databases that can be downloaded but does not tell me where to put them or how to tell SQL Server where they are and connect to them. I'm familiar with the required knowledge about both data bases and statistics but not with SQL Server so this is not the book I needed. It may be very good but not for my purposes. I'll know better when I get going with SQL Server 2008. Peter Jurkat
Get your hands dirty with SQL Server 2008 Data Mining Tools May 9, 2009 Satyen@AWS (Seattle) 2 out of 2 found this review helpful
This is an excellent hands-on book on learning core concepts of data mining with SQL Server 2008. I have used this book as part of our Data Mining certification course at University Of Washington. The examples are very clear and their step-by-step approach really helped me in understanding various mining models and learning DMX query. Highly recommend for aspirant and experienced BI professionals.
A superb book and must have February 5, 2009 North Providence RI (North Providence RI) 3 out of 4 found this review helpful
Jamie MacLennan, ZhaoHui Tang, and Bogdan Crivat have done a superb job on this book and for those of us that had to deal with the 2005 version rest assured dear reader that the 2008 version is a 'work of art'. The writing is clear and concise. The examples are easy to work with, understandable and gone are the complex mathmathics that required genious to interpret. I have bought a copy for myself and two for the office. I have a problem with recommending books for the sake of recommending them. Trust me the 2008 version is worth every cent!!. Thanks Jamie et Al and well done!!!!
Great reference for REAL WORLD application of data mining February 3, 2009 J. Burchel (Dallas, TX) This is an excellent book, highly recommended by me and my numerous colleagues in the data mining community - one I support for a living, and not just teach. There is little use for theoretical learning if practical application is not also supported. Data Mining with SQL Server 2008 (as the previous 2005 edition) thoroughly covers not only the theory, but also the full feature-set of Microsoft's extensive data mining tools. Is it possible to buy a book with more detail on theoretical aspects of the subject? Possibly. But if you want to actually use the rich data mining features in the best business intelligence product available in the world both readily and efficiently without wading through stacks of PhD fodder, this book is perfect, and none can surpass it that I know of.
Showing reviews 1-5 of 8
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