Table of Contents
- Title and Copyright Information
- Preface
- Changes in This Release for Oracle Data Mining Concepts Guide
- Part I Introductions
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Part II Mining Functions
- 4 Regression
- 5 Classification
- 6 Anomaly Detection
- 7 Clustering
- 8 Association
- 9 Feature Selection and Extraction
- 10 Time Series
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Part III Algorithms
- 11 Apriori
- 12 CUR Matrix Decomposition
- 13 Decision Tree
- 14 Expectation Maximization
- 15 Explicit Semantic Analysis
- 16 Exponential Smoothing
- 17 Generalized Linear Models
- 18 k-Means
- 19 Minimum Description Length
- 20 Naive Bayes
- 21 Neural Network
- 22 Non-Negative Matrix Factorization
- 23 O-Cluster
- 24 R Extensibility
- 25 Random Forest
- 26 Singular Value Decomposition
- 27 Support Vector Machines
- Glossary
- Index