Data Mining with Microsoft SQL Server 2008

ISBN-10: 0470277742

ISBN-13: 9780470277744

Edition: 2009

Authors: Jamie MacLennan, Bogdan Crivat, ZhaoHui Tang

List price: $50.00
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Data Mining with SQL Server 2008 shows database analysts, data miners, and developers how to use all of the new features of Microsoft SQL Server 2008 for data mining. The book begins with a quick overview of the SQL Server Data Mining Toolset, showing how these tools can be integrated with Office 2007 to provide a complete, user-friendly platform for mining and analyzing data. The authors next show how to use each of the major data mining algorithms supported by this Microsoft tool, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. The authors also cover mining OLAP databases, as well as data mining with SQL Server Integration Services 2008. The last set of chapters provide in-depth examples of using Microsoft data mining to solve business analysis problems., including building a cross-sales Web application. The authors also cover significant new features for text mining. The companion Website will include the complete sample code and data sets provided in the book.
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Book details

List price: $50.00
Copyright year: 2009
Publisher: John Wiley & Sons, Incorporated
Publication date: 11/17/2008
Binding: Paperback
Pages: 672
Size: 7.50" wide x 9.25" long x 1.50" tall
Weight: 2.090
Language: English

Introduction to Data Mining
Applied Data Mining Using Microsoft Excel 2007
DMX and SQL Server Data Mining Concepts
Using SQL Server Data Mining
Implementing a Data Mining Process Using Office 2007
Microsoft Na�ve Bayes
Microsoft Decision Trees Algorithm
Microsoft Time Series Algorithm
Microsoft Clustering
Microsoft Sequence Clustering
Microsoft Association Rules
Microsoft Neural Network and Logistic Regression
Mining OLAP Cubes
Data Mining with SQL Server Integration Services
SQL Server Data Mining Architecture
Programming SQL Server Data Mining
Extending SQL Server Data Mining
Implementing a Web Cross-Selling Application
Conclusion and Additional Resources
Supported Functions
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