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A source table for Data Mining may include one or more columns of text. A text column cannot be used as a target. The case table itself must be a relational table; it cannot be created as a view.
Text must undergo a transformation process described in Data Preparation for Text before it can be mined. Once the data has been properly transformed, the case table can be used for building, testing, or scoring data mining models. 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 an Oracle Database 12c
Clustering algorithms k- Means and Expectation Maximization
Feature Extraction algorithms: Non-Negative Matrix Factorization, Singular Value Decomposition, and Principal Components Analysis
Regression algorithms Generalized Linear Models and Support Vector Machine
Note: These algorithms do not support text:
Any text attributes are automatically filtered out for model builds when you use O-Cluster or Decision Tree connected to an Oracle Database 11 |