Classification
finding the description of several predefined classes and classify a data item into one of item
Clustering
identifying a finite set of categories or clusters to describe the data
Regression
is used to maps a data item to a real-valued prediction variable
Dependency Modeling
finding a model which describes significant dependencies between variables
Deviation and change detection
discovering the most significant changes in the data
Summarization
compact description for a subset of data
to a real-valued prediction variable