Most algorithms require some form of data transformation. During the model build process, Oracle Data Mining can automatically perform the transformations required by the algorithm. You can choose to supplement the automatic transformations with additional transformations of your own, or you can choose to manage all the transformations yourself.
In calculating automatic transformations, Oracle Data Mining uses heuristics that address the common requirements of a given algorithm. This process results in reasonable model quality in most cases.
Binning, normalization, and outlier treatment are transformations that are commonly needed by data mining algorithms.
See Also:
"Automatic Data Preparation" in Oracle Database PL/SQL Packages and Types Reference