Part III

Algorithms

Part III provides basic conceptual information to help you understand the algorithms supported by Oracle Data Mining. In cases where more than one algorithm is available for a given mining function, this information in these chapters should help you make the most appropriate choice. Also, if you have a general understanding of the workings of an algorithm, you will be better prepared to optimize its use with tuning parameters and data preparation.

Part III contains the following chapters:

• Chapter 10, "Apriori"

• Chapter 11, "Decision Tree"

• Chapter 12, "Generalized Linear Models"

• Chapter 13, "k-Means"

• Chapter 14, "Minimum Description Length"

• Chapter 15, "Naive Bayes"

• Chapter 16, "Non-Negative Matrix Factorization"

• Chapter 17, "O-Cluster"

• Chapter 18, "Support Vector Machines"