Designing and Implementing (Analysis Services - Data Mining)

In This Section

• Using the Data Mining Tools
  Provides an overview of the graphical design tools that you can use to create and modify data mining structures and models.

• Creating a New Mining Structure
  Describes how to create a mining structure from either relational or online analytical processing (OLAP) data sources.

• Adding Mining Models to a Structure (Analysis Services - Data Mining)
  Describes how you can create mining models that are related to a common data structure.

• Customizing a Data Mining Model (Analysis Services - Data Mining)
  Describes ways to customize a mining model, and provides links to technical reference topics for each algorithm that describes algorithm parameters; provides links to additional resources for using prediction functions,

• Creating Filters for Mining Models (Analysis Services - Data Mining)
  Explains how to customize a mining model by applying filters to the data used in training the mode.

• Viewing a Data Mining Model
  Describes the custom viewers that are provided for exploring data mining model. Exploring a data mining model lets you understand the behavior of the model before you deploy it.

• Validating Data Mining Models (Analysis Services - Data Mining)
  Describes how to create charts that represent the accuracy of data mining models.

• Managing Data Mining Structures and Models
  Describes ways that you can work with existing mining structures and models.

• Data Mining Designer How-to Topics (Analysis Services - Data Mining)
  Provides procedures that describe how to use the tools provided in SQL Server Analysis Services to create, modify, and deploy data mining objects.

• Tutorials: Designing and Implementing Data Mining Models
  Provides step-by-step tutorials that help you learn how to design and implement data mining solutions.

See Also

Concepts