Editing Association rule learning (section)

==== ASSOC ====

The ASSOC procedure<ref>{{cite book |last=Hájek |first=Petr |author2=Havránek, Tomáš |title=Mechanizing Hypothesis Formation: Mathematical Foundations for a General Theory |publisher=Springer-Verlag |year=1978 |isbn=978-3-540-08738-0 |url=http://www.cs.cas.cz/hajek/guhabook/ }}</ref> is a GUHA method which mines for generalized association rules using fast [[bitstring]]s operations. The association rules mined by this method are more general than those output by apriori, for example "items" can be connected both with conjunction and disjunctions and the relation between antecedent and consequent of the rule is not restricted to setting minimum support and confidence as in apriori: an arbitrary combination of supported interest measures can be used.