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e12218-Oracle Data Mining-94
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Oracle® Data Mining
Application Developer's Guide
11g Release 2 (11.2)
E12218-07
July 2011
Oracle Data Mining Application Developer's Guide, 11g Release 2 (11.2)
E12218-07
Copyright © 2005, 2011, Oracle and/or its affiliates. All rights reserved.
Primary Author: Kathy L. Taylor
This software and related documentation are provided under a license agreement containing restrictions on
use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your
license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license,
transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse
engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is
prohibited.
The information contained herein is subject to change without notice and is not warranted to be error-free. If
you find any errors, please report them to us in writing.
If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it
on behalf of the U.S. Government, the following notice is applicable:
U.S. GOVERNMENT RIGHTS Programs, software, databases, and related documentation and technical data
delivered to U.S. Government customers are "commercial computer software" or "commercial technical data"
pursuant to the applicable Federal Acquisition Regulation and agency-specific supplemental regulations. As
such, the use, duplication, disclosure, modification, and adaptation shall be subject to the restrictions and
license terms set forth in the applicable Government contract, and, to the extent applicable by the terms of
the Government contract, the additional rights set forth in FAR 52.227-19, Commercial Computer Software
License (December 2007). Oracle America, Inc., 500 Oracle Parkway, Redwood City, CA 94065.
This software or hardware is developed for general use in a variety of information management
applications. It is not developed or intended for use in any inherently dangerous applications, including
applications that may create a risk of personal injury. If you use this software or hardware in dangerous
applications, then you shall be responsible to take all appropriate fail-safe, backup, redundancy, and other
measures to ensure its safe use. Oracle Corporation and its affiliates disclaim any liability for any damages
caused by use of this software or hardware in dangerous applications.
Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of
their respective owners.
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are used under license and are trademarks or registered trademarks of SPARC International, Inc. AMD,
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This software or hardware and documentation may provide access to or information on content, products,
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iii
Contents
Preface ................................................................................................................................................................. v
Audience....................................................................................................................................................... v
Documentation Accessibility..................................................................................................................... v
Related Documentation.............................................................................................................................. vi
Conventions ................................................................................................................................................. vi
What's New in the Oracle Data Mining APIs?............................................................................. vii
Oracle Data Mining 11g Release 2 (11.2.0.3) API New Features ......................................................... vii
Oracle Data Mining 11g Release 2 (11.2.0.1) API New Features ......................................................... vii
1 Data Mining API Use Cases
Analyze Customer Demographics and Buying Patterns .................................................................. 1-1
Evaluate the Success of a Marketing Campaign ................................................................................ 1-4
Use Predictive Analytics to Create a Customer Profile..................................................................... 1-5
2 A Tour of the Data Mining APIs
Data Mining PL/SQL Packages ............................................................................................................. 2-1
Data Mining Data Dictionary Views.................................................................................................... 2-3
Data Mining SQL Functions .................................................................................................................. 2-3
Data Mining Java API.............................................................................................................................. 2-4
3 Creating the Case Table
Requirements ............................................................................................................................................ 3-1
About Attributes....................................................................................................................................... 3-3
Nested Data ............................................................................................................................................... 3-7
Missing Data .......................................................................................................................................... 3-11
4 Preparing Text for Mining
Oracle Text Routines for Term Extraction............................................................................................ 4-1
Term Extraction in the Sample Programs ............................................................................................ 4-2
From Unstructured Data to Structured Data....................................................................................... 4-3
Steps in the Term Extraction Process .................................................................................................... 4-4
Example: Transforming a Text Column................................................................................................ 4-8
iv
5 Building a Model
Steps in Building a Model...................................................................................................................... 5-1
Model Settings.......................................................................................................................................... 5-2
Creating a Model ...................................................................................................................................... 5-6
Model Details............................................................................................................................................ 5-8
Mining Model Schema Objects............................................................................................................. 5-8
6 Scoring and Deployment
In-Database Scoring................................................................................................................................. 6-1
What is Deployment? .............................................................................................................................. 6-1
Real-Time Scoring.................................................................................................................................... 6-2
Cost-Sensitive Decision Making........................................................................................................... 6-5
Batch Apply .............................................................................................................................................. 6-7
7 The Data Mining Java API
The Java Environment ............................................................................................................................. 7-1
Connecting to the Data Mining Engine ............................................................................................... 7-2
API Design Overview.............................................................................................................................. 7-7
Index
v
Preface
This manual describes the programmatic interfaces to Oracle Data Mining. You can
use the PL/SQL and Java interfaces to create data mining applications or add data
mining features to existing applications. You can use the data mining SQL operators in
applications or in ad hoc queries.
This manual should be used along with the demo applications and the related
reference documentation. (See "Related Documentation" on page ii-vi.)
The preface contains these topics:
■ Audience
■ Documentation Accessibility
■ Related Documentation
■ Conventions
Audience
This manual is intended for database programmers who are familiar with Oracle Data
Mining.
Documentation Accessibility
For information about Oracle's commitment to accessibility, visit the Oracle
Accessibility Program website at
http://www.oracle.com/pls/topic/lookup?ctx=acc&id=docacc
.
Access to Oracle Support
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.
Note: The Oracle Data Mining Java API is deprecated in this release.
Oracle recommends that you not use deprecated features in new
applications. Support for deprecated features is for backward
compatibility only
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