Data Mining with Microsoft SQL Server 2008 - Tapa blanda

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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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The most authoritative book on data mining with SQL Server2008

SQL Server Data Mining has become the most widely deployed datamining server in the industry. Business users—and evenacademic and scientific users—have adopted SQL Server datamining because of its scalability, availability, extensivefunctionality, and ease of use.

The 2008 release of SQL Server brings exciting new advances indata mining. This authoritative and up-to-date resource shows howto master all of the latest features, with practical guidance onhow 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 datamining. The discussion progresses to a thorough look at the detailsof the SQL Server 2008 data mining algorithms. You'll discover howto integrate SQL Server data mining into other parts of the SQLServer Business Intelligence (BI) suite and extend SQL Server datamining for your own needs. Detailed, practical examples clearlyexplain how to implement successful data mining solutions with SQLServer 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 areincluded with SQL Server data mining

• Perform data mining on online analytical processing (OLAP)cubes

• Extend SQL Server data mining by implementing your own datamining algorithms and stored procedures

• Use SQL Server Management Studio to access and secure datamining objects

• Use SQL Server Business Intelligence Development Studio tocreate and manage data mining projects

The companion website includes the complete sample code and datasets that are featured in the book.