The most authoritative book on data mining with SQL Server 2008   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 introduction to the tools, techniques, and concepts necessary to leverage SQL Server 2008 data mining. The discussion progresses to a thorough look at 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 * Use SQL Server Management Studio to access and secure data mining objects * Use SQL Server Business Intelligence Development Studio to create and manage data mining projects   The companion website includes the complete sample code and data sets that are featured in the book. Eine praxisorientierte Einführung in das Data Mining Toolset des SQL Server 2008 und die neuen Data Mining Add-Ins für Office 2007.   Enthält detaillierte Erläuterungen und Beispiele zu allen neuen Data Mining Features des SQL Server 2008.   Gibt präzise Anleitungen zum Arbeiten mit den wichtigsten Data Mining-Algorithmen, (Naive Bayes-, Decision Trees-, Time Series-, Sequence Clustering-, Association- und Neural Network-Algorithmus), zum Data Mining in OLAP Datenbanken und mit SQL Server Integration Services 2008.   Die begleitende Website enthält den kompletten Quellcode zu den Beispielen aus dem Buch.