Association rule learning

In data mining and treatment learning, association rule learners are used to discover elements that occur in common within a given data set [1].

Contrast set learning is a form of associative learning. Contrast set learners use rules that differ meaningfully in their distribution across subsets [1].

Weighted class learning is another form of associative learning in which weight may be assigned to classes to give focus to a particular issue of concern for the consumer of the data mining results.

External sources

[1] T. Menzies, Y. Hu, Data Mining For Busy People. IEEE Computer, October 2003, pgs. 18-25.