Mining Generalized Association Rules on Multilevel Concept

Multiple layer is a concept that exists in many fields of research.One object may not only belong to defferent higher layers,but derives various lower layers.Useful association rules among data items usually occur in rather highlayers,however,special valuable information can be ofter focus in rather low conceptual layers.This article gives an algorithm on mutual mining the association rules among multiple conceptual layers and come issues about it. The algorithm is turned out to be much more effective and rapid, when running, it use up little system resource.