Association rule learning
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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.