Data Mining Deployment Guide > Setting Up a Modeling Environment with Siebel Data Mining >

Training Data Mining Models

Once your CMR is exposed in the presentation layer of Siebel Analytics, you can start building data mining models. Use Siebel Data Mining Workbench or Siebel Miner to build and train models. Your immediate data mining task will guide the choice of modeling technique. Point Siebel Data Mining Workbench and Siebel Miner to the Siebel Analytics Server as a data source, and select your CMR table for data import. See the KnowledgeStudio User Guide and the Siebel Miner documentation in the Angoss folder on the Siebel eBusiness Third-Party Bookshelf for details on creating and training data mining models.

Training Models for Siebel Data Mining Workbench Users

Data Mining models are stored in the file system of your client machine running Data Mining Workbench. Siebel Data Mining Workbench also allows you to export predictive models in PMML file format. (PMML—Predictive Modeling Markup Language—is an emerging standard for representing data mining models in a vendor-independent XML format.) For real-time scoring purposes, save the predictive model file in a file directory that is accessible to the Siebel Analytics Server. For details on setting up Siebel Analytics to access PMML files for real-time scoring, see Deploying Real-Time Scoring with Siebel Data Mining. If you use both Siebel Data Mining Workbench and Siebel Miner, you can exchange predictive models between the two applications. For details on exporting and importing predictive models, see the KnowledgeStudio User Guide and the Siebel Miner documentation in the Angoss folder on the Siebel eBusiness Third-Party Bookshelf.

Training Models for Siebel Miner Users

Siebel Miner stores models both in its file directory and its repository database. For real-time scoring purposes, save the predictive model file as a PMML file in a directory that is accessible to the Siebel Analytics Server. For details on setting up Siebel Analytics to access a PMML file for real-time scoring, see Deploying Real-Time Scoring with Siebel Data Mining. If you use both Siebel Data Mining Workbench and Siebel Miner, you can exchange predictive models between the two applications. For details on exporting and importing predictive models, see the KnowledgeStudio User Guide and the Siebel Miner documentation in the Angoss folder on the Siebel eBusiness Third-Party Bookshelf.