Often there exists structures for the data, i.e. datasets have some hierarchy that describes the relation among different attributes for the data. This can be used as prior information before applying association algorithms. E.g. :- yahoo hierarchy, food hierarchy, etc.
Often in this case, adjusting the minSupp for each level in the hierarchy, will help us find better association rules. Such rules are called multilevel association rules.