Part III Algorithms
Part III provides basic conceptual information about the algorithms supported by Oracle Data Mining. There is at least one algorithm for each of the mining functions.
Part III contains these chapters:
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Table of Contents
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- Preface
- Changes in This Release for Oracle Data Mining Concepts Guide
- Part I Introductions
- Part II Mining Functions
- 4 Regression
- 5 Classification
- 6 Anomaly Detection
- 7 Clustering
- 8 Association
- 9 Feature Selection and Extraction
- 10 Time Series
- 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
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