Data mining — Building and storing mining models

Intelligent Miner® provides predefined stored procedures to build mining models and to store them in database tables.

By calling the stored procedure that executes the training run, a value of one of the following data types is created:

DM_RuleModel
DM_ClasModel
DM_ClusteringModel
DM_RegressionModel
DM_TimeseriesModel

The model-building process is often iterative. Usually, several passes over the input data are necessary before a model is generated. Any repeated passes that are necessary are performed by the mining algorithm. Therefore the mining run can take considerable time to finish. After a model is complete, it is stored as a database object in the specified table.