Data Mining

Web Mining: Creating, Enhancing, Mining and Acting on Web Data

Customer interactions reveal important trends and patterns that can help a company design a website that effectively communicates and markets its products and services.

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.

Mine Data from Text Files

This tip describes how to use text files as data sources for Data Mining

How Much Training Data Is Enough?

This tip shows you how you can apply the cross-validation feature in the upcoming SQL Server 2008 release to estimate if the training set size is sufficient for a given model.

Add Custom Data Mining Algorithms to SQL Server 2005

Get a high-level overview of the benefits of the extensibility framework in SQL Server 2005 Analysis Services that allows independent software developers to easily integrate new data mining algorithms into the product.

Under the Hood: How Dependency Probability is Computed by Naïve Bayes

This tip provides insight into the inner workings of the Microsoft Naive Bayes algorithm, showing how the algorithm computes the score used to filter out correlations.

Generating lift reports using Reporting Services - Part 1

This tip explores a DMX extension introduced in SQL Server 2005 SP2 that can be used to render lift reports directly in Reporting Services.

Data Validation Sample

This video sample shows how the clustering algorithm can be used to automatically validate data.

Executing predictions from the SQL Server relational engine

This tip shows you how to execute and use the results of prediction queries in multiple ways within the SQL Server relational database engine.