document: Identifying bridging rules between conceptual clusters A bridging rule in this paper has its antecedent and action from different conceptual clusters . We first design two algorithms for mining bridging rules between clusters in a database , and then propose two non-linear metrics for measuring the interestingness of bridging rules . Bridging rules can be distinct from association rules ( or frequent itemsets ) . This is because ( 1 ) bridging rules can be generated by infrequent itemsets that are pruned in association rule mining ; and ( 2 ) bridging rules are measured by the importance that includes the distance between two conceptual clusters , whereas frequent itemsets are measured by only the support .
doc_bio_tags: O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O