Text Mining in Oracle Data Mining

Text must undergo a transformation process before it can be mined. After the data has been properly transformed, a case table can be used for building, testing, or scoring data mining models. The case table must be a relational table. It cannot be created as a view.

A Source table for Oracle Data Mining can include one or more columns of text. A text column cannot be used as a target.

The following Oracle Data Mining algorithms support text:

• Anomaly Detection (one-class Support Vector Machine)

• Classification algorithms: Naive Bayes, Generalized Linear Models, and Support Vector Machine

  Decision Tree when you connect to Oracle Database 12c

• Clustering algorithms: k- Means and Expectation Maximization

• Feature Extraction algorithms: Nonnegative Matrix Factorization, Singular Value Decomposition, and Principal Components Analysis

• Regression algorithms: Generalized Linear Models and Support Vector Machine