Data Mining Extensions

Data Mining Extensions (DMX) is a query language for data mining models supported by Microsoft's SQL Server Analysis Services product.

Like SQL, it supports a data definition language (DDL), data manipulation language (DML) and a data query language (DQL), all three with SQL-like syntax. Whereas SQL statements operate on relational tables, DMX statements operate on data mining models. Similarly, Microsoft SQL Server supports the MDX language for OLAP databases. DMX is used to create and train data mining models, and to browse, manage, and predict against them. DMX is composed of data definition language (DDL) statements, data manipulation language (DML) statements, and functions and operators.

Queries
DMX Queries are formulated using the  statement. They can extract information from existing data mining models in various ways.

Data definition language
The data definition language (DDL) part of DMX can be used to
 * Create new data mining models and mining structures -
 * Delete existing data mining models and mining structures -
 * Export and import mining structures -
 * Copy data from one mining model to another -

Data manipulation language
The data manipulation language (DML) part of DMX can be used to
 * Train mining models -
 * Browse data in mining models -
 * Make predictions using mining model -

Example: a prediction query
This example is a singleton prediction query, which predicts for the given customer whether she will be interested in home loan products.