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Oracle® Data Mining Concepts
11g Release 2 (11.2)

Part Number E16808-06
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Contents

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List of Examples

List of Figures

List of Tables

Title and Copyright Information

Click to expand Preface

Click to expand What's New in Oracle Data Mining?

Part I Introductions

Click to expand 1 What Is Data Mining?

Click to expand 2 Introducing Oracle Data Mining

Click to expand 3 Introducing Oracle Predictive Analytics

Part II Mining Functions

Click to expand 4 Regression

Click to expand 5 Classification

Click to expand 6 Anomaly Detection

Click to expand 7 Clustering

Click to expand 8 Association

Click to expand 9 Feature Selection and Extraction

Part III Algorithms

Click to expand 10 Apriori

Click to expand 11 Decision Tree

Click to expand 12 Generalized Linear Models

Click to expand 13 k-Means

Click to expand 14 Minimum Description Length

Click to expand 15 Naive Bayes

Click to expand 16 Non-Negative Matrix Factorization

Click to expand 17 O-Cluster

Click to expand 18 Support Vector Machines

Part IV Data Preparation

Click to expand 19 Automatic and Embedded Data Preparation

Part V Mining Unstructured Data

Click to expand 20 Text Mining

Glossary

Index

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