SQL Server 2005 Data Mining

Data mining is frequently described as "the process of extracting valid and authentic information that can be acted on from large databases." In other words, data mining derives patterns and trends that exist in data. These patterns and trends can be collected together and defined as a mining model. Mining models can be applied to specific business scenarios.

Introduction to SQL Server 2005 Data Mining
Get an overview of typical data mining problems and the tools and models that are available in SQL Server 2005 for solving these problems.
Data Mining Add-Ins for Office 2007

Download the Microsoft SQL Server 2005 Data Mining Add-Ins for Office 2007. Then use the video tutorials to get started fast on prediction and analysis, using the sophisticated data mining algorithms of Microsoft SQL Server 2005 Analysis Services in the familiar environment of Microsoft Excel and Microsoft Visio.

Articles and Columns

  • SQL Server Data Mining Programmability
    Learn more about the new APIs for data mining in SQL Server 2005, and get an introduction to several common development scenarios.
  • SQL Server Data Mining: Plug-In Algorithms
    This article describes how SQL Server 2005 Data Mining allows aggregation directly at the algorithm level. Although this restricts what the third-party algorithm developer can support in terms of language and data types, it frees the developer from having to implement data handling, parsing, meta data management, session, and rowset production code on top of the core data mining algorithm implementation.
  • Make Sense of Your Web Feedback using SQL Server 2005
    MSDN Magazine columnist Peter Pyungchul Kim shows you how to use SQL Server 2005's data mining features in a Web feedback example application.