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 techniques.

Part III contains these chapters:

• Apriori

• CUR Matrix Decomposition

• Decision Tree

• Expectation Maximization

• Explicit Semantic Analysis

• Exponential Smoothing

• Generalized Linear Models

• k-Means

• Minimum Description Length

• Naive Bayes

• Neural Network

• Non-Negative Matrix Factorization

• O-Cluster

• R Extensibility

• Random Forest

• Singular Value Decomposition

• Support Vector Machines