This manual explains how to install Oracle Data Mining and prepare the database for data mining activities.
The preface contains these topics:
This guide is intended primarily for users who want to install, configure, and use Oracle Data Mining on Microsoft Windows for data mining exercises and demonstrations.
Note for DBAs:DBAs managing production databases that support Oracle Data Mining should follow standard administrative practices as described in the Oracle Database Administrator's Guide.
Building data mining models and batch scoring of mining models tend to put a DSS-like workload on the system, and single-row scoring tends to put an OLTP-like workload on the system.
For information about Oracle's commitment to accessibility, visit the Oracle Accessibility Program website at
Oracle customers have access to electronic support through My Oracle Support. For information, visit
http://www.oracle.com/pls/topic/lookup?ctx=acc&id=info or visit
http://www.oracle.com/pls/topic/lookup?ctx=acc&id=trs if you are hearing impaired.
The documentation set for Oracle Data Mining is part of the Oracle Database 11g Release 2 (11.2) Online Documentation Library. The Oracle Data Mining documentation set consists of the following documents:
Oracle Data Mining Java API Reference (javadoc)
For detailed information about the Oracle Data Mining PL/SQL interface, see Oracle Database PL/SQL Packages and Types Reference .
For detailed information about the SQL data mining functions, see Oracle Database SQL Language Reference.
For an introduction to Oracle application development, see Oracle Database 2 Day Developer's Guide.
The Oracle Data Mining documentation set does not address the topic of database tuning for data mining. The Oracle Database Performance Tuning Guide is the best source of information for tuning Oracle Database (including when the goal is to invoke mining build/score operations).
The memory tuning parameters
SGA_TARGET can easily have the most impact on data mining. The correct setting of PGA is very important for model building routines, as well as complex queries and batch scoring. From a Data Mining perspective, the SGA is generally less of a concern, except that real-time scoring is enabled by having the model loaded into the shared cursor in the SGA, so this still should be sized accordingly.
Oracle Database Performance Tuning Guide for getting started
Oracle Database Performance Tuning Guide for more detail on memory configuration
See Also:Chapter "Using Parallel Execution" in Oracle Database VLDB and Partitioning Guide for information about parallel execution tuning
The following text conventions are used in this document:
|boldface||Boldface type indicates graphical user interface elements associated with an action, or terms defined in text or the glossary.|
|italic||Italic type indicates book titles, emphasis, or placeholder variables for which you supply particular values.|
||Monospace type indicates commands within a paragraph, URLs, code in examples, text that appears on the screen, or text that you enter.|