DATA MINING WITH MICROSOFT SQL SERVER 2008

JAMIE MACLENNAN

ISBN 10: 8126519185 / ISBN 13: 9788126519187

Published by WILEY INDIA, 2009

About this Item

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Bibliographic Details

• Title: DATA MINING WITH MICROSOFT SQL SERVER 2008
• Publisher: WILEY INDIA
• Publication Date: 2009
• Language: English
• ISBN 10: 8126519185
• ISBN 13: 9788126519187
• Binding: Soft cover
• Edition: International Edition
• Condition: New

About this title

Synopsis

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 provides 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. About The Author: Jamie MacLennan is the Principal Development Manager of SQL Server Analysis Services at Microsoft. In addition to being responsible for the development and delivery of the Data Mining and OLAP technologies for SQL Server, he is a proud husband and father of four. Jamie has more than 25 patents and patents pending for his work on SQL Server Data Mining. Jamie has written extensively on the data mining technology in SQL Server, including many articles in MSDN magazine, SQL Server magazine and postings on SQLServerDataMining.com and his blog at http://blogs.msdn.com/jamiemac . This is his second edition of Data Mining with SQL Server. Jamie has been a featured and invited speaker at conferences worldwide, including Microsoft TechEd, Microsoft TechEd Europe, SQL PASS, Knowledge Discovery and Data Mining (KDD) conference, the Americas Conference on Information Systems (AMCIS), and the Data Mining Cup conference. ZhaoHui Tang is a group