After recognizing the importance of concept hierarchies, they proposed algorithms for generalized association rule mining, where concept hierarchies are used for mining association rules and Interesting rule detections. Interest is an important measure for determining the value of discovered knowledge. In the complexity of a concept, the hierarchy is defined in terms of the number of its internal nodes and the depth and height of each of these internal nodes. This complexity is then used to measure the interest of the discovered knowledge