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Tutorials: Designing and Implementing Data Mining Models

The Analysis Services tools in Business Intelligence Development Studio help you design, create, and manage data mining structures and models, and manage client access to data.

  • Basic Data Mining Tutorial

    This tutorial walks you through a targeted mailing scenario. It demonstrates how to use the data mining algorithms, mining model viewers, and data mining tools that are included in Analysis Services. You will build three data mining models to answer practical business questions while learning data mining concepts and tools.

    You should complete this tutorial if you are new to data mining.

  • Intermediate Data Mining Tutorials (Analysis Services - Data Mining)

    This tutorial contains a collection of lessons that introduce more advanced data mining concepts and techniques. The scenarios include forecasting, market basket analysis, and sequence clustering. In addition, the tutorials demonstrate the use of neural networks and logistic regression models for data exploration and prediction. Other concepts covered in these lessons include the use of nested tables, cross-prediction, custom data source views and named queries, and cross-validation.

    The lessons are independent and can be done in any order.

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