Learning Types

Data mining models are based on one of two kinds of learning: supervised and unsupervised. Supervised learning is typically used to predict a value. Unsupervised learning is typically used to find the intrinsic structure, relations, or affinities in a body of data but no classes or labels are assigned priori. Examples of unsupervised learning algorithms are clustering and association. An example of a supervised learning algorithm is Naive Bayes for classification.

Oracle Data Mining supports the following data mining functions: