List of Examples

List of Figures

List of Tables

Title and Copyright Information


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