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Working with named queries
A named query is a virtual view on your data source that allows you to change the data you are mining in SQL Server without making changes to your original data. Book Excerpt
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Working with named calculations
SQL Server named calculations allow you to mine derived information in your data without having to change your source data. Get an overview of named calculations. Book Excerpt
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Creating SQL Server data mining reports
SQL Server Reporting Services allows you to create custom data mining reports containing text and graphics that can be distributed via HTML, email or in print or Microsoft Office documents. Book Excerpt
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Using the Mining Model Prediction Builder
The Mining Model Prediction Builder pane in SQL Server 2005 allows you to build and edit prediction queries, view the results and save the results back to a table. Book Excerpt
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Creating data mining objects: Data sources
To perform data mining, you must indicate and describe your source data and then create mining structures and models. Book Excerpt
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Using the Mining Accuracy Chart
Once data models are processed, you need to be able to explore, query and compare them. Learn how to use Analysis Services to understand your data mining efforts. Book Excerpt
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BI Dev Studio offline mode and immediate mode
BI Dev Studio works in two operating modes, each with its own data mining advantages and drawbacks. Book Excerpt
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Using SQL Server 2005 data mining
Data warehouses and data marts hold a wealth of valuable information. Learn how to tap into that information with Chapter 3 of Data Mining with SQL Server 2005. This chapter will review the Analysis Services toolset and provide techniques to create a... Book Excerpt
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Processing: Training data models on SQL Server
Data mining processes all data models in a structure in parallel on a single data read by creating a compressed cache of the data. Outlined here are several processing options. Book Excerpt
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Using the SQL Server Data Mining Designer
The SQL Server Data Mining Designer contains the facilities for editing, browsing, querying, and comparing data models. Learn how to use the Data Mining Designer. Book Excerpt