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The most authoritative book on data mining with SQL Server 2008
SQL Server Data Mining has become the most widely deployed data mining server in the industry. Business usersand even academic and scientific usershave adopted SQL Server data mining because of its scalability, availability, extensive functionality, and ease of use.
The 2008 release of SQL Server brings exciting new advances in data mining. This authoritative and up-to-date resource shows how to master all of the latest features, with practical guidance on how to deploy and use SQL Server data mining for yourself.
The author team begins with an introduction to the tools, techniques, and concepts necessary to leverage SQL Server 2008 data mining. The discussion progresses to a thorough look at the details of the SQL Server 2008 data mining algorithms. You'll discover how to integrate SQL Server data mining into other parts of the SQL Server Business Intelligence (BI) suite and extend SQL Server data mining for your own needs. Detailed, practical examples clearly explain how to implement successful data mining solutions with SQL Server 2008.
Data Mining with Microsoft SQL Server 2008 shows you how to:
Apply data mining solutions using Microsoft Excel
Use the data mining Add-ins for Microsoft Office
Understand how, when, and where to apply the algorithms that are included with SQL Server data mining
Perform data mining on online analytical processing (OLAP) cubes
Extend SQL Server data mining by implementing your own data mining algorithms and stored procedures
Use SQL Server Management Studio to access and secure data mining objects
Use SQL Server Business Intelligence Development Studio to create and manage data mining projects
The companion website includes the complete sample code and data sets that are featured in the book.
Jamie MacLennan is principal development manager of the SQL Server Analysis Services at Microsoft. He has more than 25 patents or patents pending for his work on SQL Server Data Mining, and has written extensively on the data mining technology in SQL Server. ZhaoHui Tang is a principal group program manager at Microsoft adCenter and inventor of Keyword Services Platform. Bogdan Crivat is a senior software design engineer in SQL Server Analysis Services at Microsoft, working primarily on the data mining platform.
Excelent book for learning how to work data mining!!!,Published 11 months ago by Jose Miguel Rodriguez
I got this used book from thrift_books. Book looks great for the price. Well maintained and they took 4 days to ship it. I just started reading this book. Read morePublished 20 months ago by Amazon Buyer
A very well balanced writing with the correct proportion between theory and practise. This was what I was looking for.Published on April 9, 2013 by Amazon Customer
Nice to start with data mining and Microsoft SQL server, but is necessary to know another tools too, like sas and spss.Published on March 30, 2013 by Guille
If you are using Microsoft data mining tools, this book is a must have. Written by MacLennan, Tang and Crivat, it describes how to perform data mining using SQL Server 2008. Read morePublished on June 25, 2012 by Sandro Saitta
This is a superb book. I was sad to see when Jamie moved on from Microsoft (well sad for the product team at least, perhaps not for him as his new venture looks exciting). Read morePublished on May 15, 2011 by DR GREGORY N LOW