Oracle Data Mining allows the combination of text and non-text (traditional categorical and numerical) columns of data to build classification, regression, anomaly detection, feature extraction, and k-Means clustering models.
The following examples illustrate text mining:
Before you build any models, you must install Oracle Data Mining and prepare the environment as described in Preparation.
Before you can build models using text data, you must install Oracle Data Mining and prepare for data mining:
If these steps have already been performed, you do not have to do them over again.
Detailed directions for these steps depend on the release of Oracle Data Mining that is installed:
http://www.oracle.com/technology/products/bi/odm/odminer.html
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