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Oracle® Data Mining Administrator's Guide
11g Release 2 (11.2)

Part Number E16807-07
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What's New in Oracle Data Mining Administration?

This section summarizes the new features in Oracle D­ata Mining.It contains the following topics:

Oracle Database 11g Release 2 (11.2.0.3) Oracle Data Mining

Oracle Database 11g Release 2 (11.2.0.2) New Features in Oracle Data Mining

In Oracle Data Mining 11g Release 2 (11.2.0.2), you can import externally-created data mining models when they are presented as valid PMML documents. The model must be of type RegressionModel, either linear regression or binary logistic regression.

PMML is an XML-based standard for representing data mining models.

The IMPORT_MODEL procedure in the DBMS_DATA_MINING package is overloaded with new syntax to support PMML import. When invoked with this syntax, the IMPORT_MODEL procedure will accept a PMML document and translate the information into an Oracle Data Mining model. This includes creating and populating model tables as well as SYS model metadata.

External models imported in this way will be automatically enabled for Exadata scoring offload.

See Also:

Oracle Database PL/SQL Packages and Types Reference for information about DBMS_DATA_MINING.IMPORT_MODEL

Oracle Data Mining Concepts for information about scoring in Oracle Exadata

Oracle Database 11g Release 1 New Features in Oracle Data Mining

The following features were introduced in Oracle Data Mining 11g Release 1 (11.1):

No DMSYS Schema

Oracle Data Mining 11g is more tightly integrated with Oracle Database than it was in previous releases. Data Mining metadata and PL/SQL packages have been migrated from DMSYS to SYS. The DMSYS schema does not exist in Oracle Database 11g fresh installations.

New Database Privilege Required for Creating Models

In addition to the privileges needed for data mining in previous releases, the CREATE MINING MODEL privilege is required for creating models. This privilege should be added to any accounts being upgraded to 11g.

Additional system and object privileges are available for controlling mining activities in 11g.

See Also:

Chapter 4, "Users and Privileges for Data Mining"

Enhanced Security

Security features of Oracle Data Mining are significantly enhanced in 11g. Improved security for data mining has several aspects:

See Also:

"Auditing Mining Models"

Chapter 4, "Users and Privileges for Data Mining"

Mining Models in the Oracle Data Dictionary

New catalog views for Data Mining are introduced in Oracle Database 11g:

The ALL/DBA/USER_OBJECTS catalog view now identifies mining models.

See Also:

"Obtaining Information from the Data Dictionary" in Chapter 5

Features Not Available in Oracle Data Mining 11g Release 1

The following features are not supported in Oracle Data Mining 11g:

Features Deprecated in Oracle Data Mining 11g Release 1

The following features are deprecated in Oracle Data Mining 11g:

Note:

Oracle recommends that you do not use deprecated features in new applications. Support for deprecated features is for backward compatibility only.

See Also:

Oracle Database PL/SQL Packages and Types Reference