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Oracle® Data Mining Concepts
11g Release 1 (11.1)

B28129-04
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Contents

List of Examples

List of Figures

List of Tables

Title and Copyright Information

Preface

What's New in Oracle Data Mining?

Part I Introductions

1 What Is Data Mining?

2 Introducing Oracle Data Mining

3 Introducing Oracle Predictive Analytics

Part II Mining Functions

4 Regression

5 Classification

6 Anomaly Detection

7 Clustering

8 Association

9 Feature Selection and Extraction

Part III Algorithms

10 Apriori

11 Decision Tree

12 Generalized Linear Models

13 k-Means

14 Minimum Description Length

15 Naive Bayes

16 Non-Negative Matrix Factorization

17 O-Cluster

18 Support Vector Machines

Part IV Data Preparation

19 Automatic and Embedded Data Preparation

Part V Mining Unstructured Data

20 Text Mining

Glossary

Index