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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)
Association (Apriori)
Classification algorithms Naive Bayes, Generalized Linear Models, and Support Vector Machine
Clustering algorithm k- Means
Feature Extraction (Non-Negative Matrix Factorization)
Regression algorithms Generalized Linear Models and Support Vector Machine
Note: O-Cluster and Decision Tree do not support text. Any text attributes are automatically filtered out for model builds using these algorithms. |