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Oracle Data Mining is a component of the Oracle Advanced Analytics option of Oracle Database Enterprise Edition.
See Oracle Data Mining Documentation to find the documentation.
Oracle Data Mining enables users to build descriptive and predictive models to:
Predict customer behavior
Target "best" customers
Discover customer clusters, segments, and profiles
Identify customer retention risks
Identify promising selling opportunities
Detect anomalous behavior
Oracle Data Mining provides the Oracle Data Mining Application Programming Interface that allows programmers to build and use models.
The free Oracle Data Miner GUI is an extension to Oracle SQL Developer 3.0 or later that enables data analysts to work directly with data inside the database, explore the data graphically, build and evaluate multiple data mining models, apply Oracle Data Mining models to new data and deploy Oracle Data Mining's predictions and insights throughout the enterprise. Oracle Data Miner work flows capture and document the user's analytical methodology and can be saved and shared with others to automate advanced analytical methodologies.
Oracle Data Miner creates predictive models that application developers can integrate into applications to automate the discovery and distribution of new business intelligence — predictions, patterns, and discoveries — throughout the enterprise.