Outlier Treatment Transformation Welcome Page

An outlier is a data point that is located far from the rest of the data. An outlier is typically several standard deviations from the mean. Some data mining algorithms are sensitive to outliers in data; for more information, see Outliers in Oracle Data Mining. Outliers apply to attributes that are numbers.

The Outlier Treatment wizard identifies outliers and lets you specify how to treat them. You specify a treatment by defining what constitutes an outlier (for example, all values in the top and bottom 5% of values) and how to replace outliers (either with NULL or edge values). The wizard can generate default treatments based on the algorithm that you are planning to use.

After you click Finish, the view is created and its details are displayed.

This transformation processes single-record case and multi-record case data.

If you do not want to see this page the next time that you launch the wizard, check the Skip this Page Next Time box.

Click Next to continue.