Mining Interactions within Conceptual Classes
挖掘概念类之间的相互作用关系

An association rule is interesting if it satisfies two constraints, minimum support and minimum confidence. This can generate a great many trivial association rules. This paper designs an algorithm for mining a kind of association rules that the antecedent and action of such a rule belong to different conceptual classes, referred to class bridges. Class bridges are useful in applications, such as cross-sale in marketing, engraftation in bioengineering, and chemical synthesis.