作者：Jamie MacLennan, ZhaoHui Tang, Bogdan Crivat
出版日期：November 17, 2008
出版社：Wiley Publishing
页数：672
ISBN：ISBN-10: 0470277742 ISBN-13: 978-0470277744
文件格式：PDF


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 withOffice 2007 to mine and analyze data. Explore each of the major datamining algorithms, including naive bayes, decision trees, time series,clustering, association rules, and neural networks. Learn more abouttopics like mining OLAP databases, data mining with SQL ServerIntegration Services 2008, and using Microsoft data mining to solvebusiness analysis problems.
From the Back Cover
The most authoritative book on data mining with SQL Server 2008
SQL Server Data Mining has become the most widely deployed datamining server in the industry. Business users—and even academic andscientific users—have adopted SQL Server data mining because of itsscalability, availability, extensive functionality, and ease of use.
The 2008 release of SQL Server brings exciting new advances in datamining. This authoritative and up-to-date resource shows how to masterall of the latest features, with practical guidance on how to deployand 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 datamining. The discussion progresses to a thorough look at the details ofthe SQL Server 2008 data mining algorithms. You’ll discover how tointegrate SQL Server data mining into other parts of the SQL ServerBusiness Intelligence (BI) suite and extend SQL Server data mining foryour own needs. Detailed, practical examples clearly explain how toimplement 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 ExcelUse the data mining Add-ins for Microsoft OfficeUnderstand how, when, and where to apply the algorithms that are included with SQL Server data miningPerform data mining on online analytical processing (OLAP) cubesExtend SQL Server data mining by implementing your own data mining algorithms and stored proceduresUse SQL Server Management Studio to access and secure data mining objectsUse SQL Server Business Intelligence Development Studio to create and manage data mining projectsThe companion website includes the complete sample code and data sets that are featured in the book.