New Features

The following features are new in this release:

• Expanded prediction details

  The PREDICTION_DETAILS function now supports all predictive algorithms and returns more details about the predictors. New functions, CLUSTER_DETAILS and FEATURE_DETAILS, are introduced.

  See "Prediction Details".

• Dynamic scoring

  The Data Mining SQL functions now support an analytic clause for scoring data dynamically without a pre-defined model.

  See "Dynamic Scoring".

• Significant enhancements in text mining

  This enhancement greatly simplifies the data mining process (model build, deployment and scoring) when unstructured text data is present in the input.

  • Manual pre-processing of text data is no longer needed.

  • No text index must be created.

  • Additional data types are supported: CLOB, BLOB, BFILE.

  • Character data can be specified as either categorical values or text.

  See Mining Unstructured Text.

• New clustering algorithm: Expectation Maximization

  See the following:

  • Table 4-1

  • Example 1-6

  • Example 1-7

  • Example 1-8

  • Example 6-6

  • "About the Data Mining Sample Programs"

• New feature extraction algorithm: Singular Value Decomposition with Principal Component Analysis

  See the following:

  • Table 4-1

  • Example 6-7

  • "About the Data Mining Sample Programs"

• Generalized Linear Models are enhanced to support feature selection and creation.

  See The Data Mining Sample Programs.