Oracle Data Miner

Oracle Data Miner allows data analysts to build, evaluate, and score models using Mining Activities that guide the user through the data mining process. Oracle Data Miner supports the simultaneous building of models and applications; it can automatically generate the Java code associated with the data mining task performed.

Oracle Data Mining 10.2 supports two programming interfaces, a Java interface compliant with the Java Data Mining (JDM) standard and a PL/SQL interface. The Java and PL/SQL interfaces are compatible. Oracle Data Miner builds models and creates results using the JDM interface. Oracle Data Miner can be used with mining objects created using the PL/SQL interface.

The ODM 10.2 Java interface is not compatible with the ODM 10.1 Java interface. In particular, you cannot view or manipulate 10.1 ODM Java models using Oracle Data Miner 10.2.

Oracle Data Miner 10.2 replaces Oracle Data Miner 10.1. Oracle Data Miner 10.2 supports the new functionality in ODM 10.2. Oracle Data Miner generates Java code that is compliant with the JDM standard.

Oracle Data Miner 10.2 replaces the ODM Components (also called Data Mining for Java (DM4J)). For a comparison of Oracle Data Miner and DM4J, see What’s New in Oracle Data Miner?.

The rest of this topic summarizes the features and functionality of the Oracle Data Miner.

Guided Data Mining

A Mining Activity provides an "automated checklist" that ensures that all required data preparation is performed and that data mining activities are performed in the correct order. An activity guide ensures that you perform the data preparation required by the algorithm that you are using. A Mining Activity also sets appropriate defaults for mining.

There are two mining activities: build and apply.

Activities completely automate data mining while permitting user control of many aspects.

Data Exploration and Preparation

Oracle Data Miner includes wizards that aid data exploration and data preparation. You can summarize, recode, discretize (bin), and create new data variables.

Algorithms

Oracle Data Mining provides state-of-the-art algorithms for solving common data mining problems. Oracle Data Miner uses these algorithms in the activity guides that build models. The algorithms used by the activity guides are as follows:

Data Preparation and Management

The Oracle Data Miner supports viewing and managing the high-level objects defined by metadata in ODM (Oracle Data Mining) schemas. You can view and manage

Oracle Data Miner permits you to perform the following data preparation and data management tasks:

Oracle Data Miner User Interface

The Oracle Data Miner user interface consists of two primary panes: a navigator pane and a viewer pane; there is also an Active Tasks pane. For more information about the user interface,including a brief description of the menus, see Oracle Data Miner User Interface.

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Documentation

Oracle Data Miner is documented in the online help and README file distributed with the code. For details, see Where to Find More Information.