Skip Headers
Oracle® Data Mining Concepts
12c Release 1 (12.1)

E17692-15
Go to Documentation Home
Home
Go to Book List
Book List
Go to Index
Index
Go to Master Index
Master Index
Go to Feedback page
Contact Us

Go to next page
Next
PDF · Mobi · ePub

Contents

List of Examples

List of Figures

List of Tables

Title and Copyright Information

Preface

Changes in This Release for Oracle Data Mining Concepts

Part I Introductions

1 What Is Data Mining?

2 Introduction to Oracle Data Mining

3 Oracle Data Mining Basics

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 Expectation Maximization

13 Generalized Linear Models

14 k-Means

15 Minimum Description Length

16 Naive Bayes

17 Non-Negative Matrix Factorization

18 O-Cluster

19 Singular Value Decomposition

20 Support Vector Machines

Glossary

Index