TIMELY. PRACTICAL. RELIABLE.
Jamie MacLennan
ZhaoHui Tang
Bogdan Crivat
Data Mining with
SQL Server
®
2008
Wiley Technology Publishing
Timely. Practical. Reliable.
The most authoritative book on data mining with SQL Server 2008
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
Database Management/General
• Use SQL Server Management
Studio to access and secure data
mining objects
• Use SQL Server Business Intel-
ligence Development Studio to
create and manage data mining
projects
Jamie MacLennan is principal devel-
opment 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.
The companion website includes the
complete sample code and data sets
that are featured in the book.
SQL Server Data Mining has become
the most widely deployed data mining
server in the industry. Business users—
and even academic and scientific users—
have 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 intro-
duction to the tools, techniques, and
concepts necessary to leverage SQL
Server 2008 data mining. The discus-
sion progresses to a thorough look at
Visit our website at www.wiley.com/compbooks/
Visit the companion website at
www.wiley.com/go/
data_mining_SQL_2008
Data Mining with Microsoft
®
SQL Server
®
2008
MacLennan
Tang
Crivat
Microsoft
®
spine=1.296"
ISBN: 978-0-470-27774-4
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资源评论
zwjcyber2012-12-13学习了，英文版的，有点吃力- microshort2013-03-12very good stuff. Written by core member of ms bi team.
- huibin20102017-10-28看了一半多，包括全部的数据挖掘算法，觉得这本书还是有一定意义的。首先，这里介绍了七种挖掘算法：贝叶斯、决策树、时间系列、聚类、顺序聚类、神经网络和逻辑回归，讲解深入浅出。其次，DMX语言可用来建立模型和查询模型，这样子数据挖掘可以更好入手。最后，开发工具，Business Intelligence Development Studio、SQL Server Management Studio、Excel 2007 数据挖掘插件可以帮助更好的建立和使用模型，从不同层次或视角查看模型、理解模型。想学数据挖掘的朋友，不妨读读这本书，入入门。
