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Table of Contents Image Oracle9i Data Mining Concepts
Release 2 (9.2)

Part Number A95961-01
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Contents

Title and Copyright Information

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Preface

1 Basic ODM Concepts

1.1 New Features and Functionality
1.2 Oracle9i Data Mining Components
1.2.1 Oracle9i Data Mining API
1.2.2 Data Mining Server
1.3 Data Mining Functions
1.3.1 Classification
1.3.2 Clustering
1.3.3 Association Rules
1.3.4 Attribute Importance
1.4 ODM Algorithms
1.4.1 Adaptive Bayes Network
1.4.2 Naive Bayes Algorithm
1.4.3 Model Seeker
1.4.4 Enhancedk-Means Algorithm
1.4.5 O-Cluster Algorithm
1.4.6 Predictor Variance Algorithm
1.4.7 Apriori Algorithm
1.5 Data Mining Tasks
1.5.1 Model Build
1.5.2 Model Test
1.5.3 Computing Lift
1.5.4 Model Apply (Scoring)
1.6 ODM Objects and Functionality
1.6.1 Physical Data Specification
1.6.2 Mining Function Settings
1.6.3 Mining Algorithm Settings
1.6.4 Logical Data Specification
1.6.5 Mining Attributes
1.6.6 Data Usage Specification
1.6.7 Mining Model
1.6.8 Mining Results
1.6.9 Confusion Matrix
1.6.10 Mining Apply Output
1.7 Missing Values and Discretization
1.7.1 Missing Values Handling
1.7.2 Discretization
1.8 PMML Support

2 ODM Programming

2.1 Compiling and Executing ODM Programs
2.2 Using ODM to Perform Mining Tasks
2.2.1 Build a Model
2.2.2 Perform Tasks in Sequence
2.2.3 Find the Best Model
2.2.4 Find and Use the Most Important Attributes

3 ODM Basic Usage

3.1 Building a Model
3.1.1 Before Building an ODM Model
3.1.2 Main Steps in ODM Model Building
3.1.3 Connect to the Data Mining Server
3.1.4 Describe the Build Data
3.1.5 Create the MiningFunctionSettings Object
3.1.6 Build the Model
3.2 Scoring Data Using a Model
3.2.1 Before Scoring Data
3.2.2 Main Steps in ODM Scoring
3.2.3 Connect to the Data Mining Server
3.2.4 Describe the Input Data
3.2.5 Describe the Output Data
3.2.6 Specify the Format of the Apply Output
3.2.7 Apply the Model

A ODM Sample Programs

A.1 ODM Java API
A.2 List of ODM Sample Programs
A.2.1 Basic ODM Usage
A.2.2 Decision Tree Models
A.2.3 Naive Bayes Models
A.2.4 Model Seeker Usage
A.2.5 Clustering Models
A.2.6 Association Rules Models
A.2.7 PMML Export and Import
A.2.8 Attribute Importance Model Build and Use
A.2.9 Discretization
A.3 Compiling and Executing ODM Sample Programs
A.3.1 Compiling and Executing the Short Sample Programs
A.3.2 Compiling and Executing All Other ODM Sample Programs

Glossary

Index


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