What's New in Oracle Data Mining 11g?
Oracle Data Mining, an option to Oracle Database 11g Enterprise Edition, enables users to extract information efficiently from the very largest databases and build integrated business intelligence applications. Data analysts can find patterns and insights hidden in their data. Application developers can quickly automate the extraction and distribution of new business intelligence—predictions, patterns and discoveries—throughout the organization.
Oracle Data Mining can be used to solve the following kinds of data mining problems: classification, prediction, regression, clustering, associations, attribute importance, feature extraction and sequence similarity searches and analysis (BLAST). All model building, scoring, and metadata management operations are performed using Oracle Data Mining or a PL/SQL or a Java-based API; all operations occur entirely within the relational database.
Oracle Data Mining 11g includes the following new algorithms and features:
- Generalized Linear Models (GLM), an algorithm that
supports two mining functions: classification (logistic regression) and regression
(linear regression).
- Revised Java interface compliant with the Java Data Mining (JDM) standard The Oracle Data Mining Java API (OJDM) fully supports the new features in Oracle
Data Mining 11g Release 1 (11.1).
- Data Mining models as data dictionary objects in
the SYS schema. A set of new data dictionary views present mining models and
their properties. New system and object privileges control access to mining models.
- Automatic data preparation (ADP)
- Scoping of nested data and enhanced handling of sparse data
- New SQL data mining function,
PREDICTION_BOUNDS, supporting GLM. PREDICTION_BOUNDS returns the
confidence bounds on predicted values (regression models) or predicted
probabilities (classification).
- Cost matrix support enhancements.
Desupported and Deprecated Features
The following features are desupported in Oracle Data Mining 11g:
- DMSYS schema
- Oracle Data Mining Scoring Engine
- Database Configuration Assistant (DBCA) to
configure the Data Mining option. (In Oracle 11g, you do not need to use
DBCA to configure the Data Mining option.)
- Basic Local Alignment Search Tool (BLAST)
The following features are derecated in Oracle Data Mining 11g:
- Adaptive Bayes Network classification algorithm (replaced with Decision
Tree).
- DM_USER_MODELS view and functions that provide information about
models, model signature, and model settings.
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