This manual explains how to install the various components of Oracle Data Mining and perform basic administration tasks. It also explains how to install and run the Data Mining sample programs.
The preface contains these topics:
This guide can be used by a spectrum of users, however, it is primarily directed at an individual user who wants to install, configure, and use Oracle Data Mining on a laptop or personal computer.
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The documentation set for Oracle Data Mining is part of the Oracle Database 11g Release 1 (11.1) 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. Search for
For detailed information about the SQL data mining functions, see Oracle Database SQL Language Reference.
For an introduction to application development in SQL and PL/SQL, see Oracle Database Advanced Application Developer's Guide.
For an introduction to application development in Java, see Oracle Database Java 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 25 in Oracle Database Data Warehousing Guide for information about parallel execution tuning
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