Finding interesting rule in the sixth strategy step about threshold control on generalized relations in attribute oriented induction, there is possibility to select candidate attribute for further generalization and merginng of identical tuples until the number of tuples is no greater than the threshlod value, as implemented in there is possibility the number of tuples in final generalization result still greater than threshlod value. in order to get the final easy to transfer into simple logical formula, the seventh strategy step about rule transformation is evolved where three will be simplification by unioning or grouping the identical attribute. our approach to measure interesting rule is opposite with heuristic measurement approach by fulger and hamilton where the more complex, concept hierachies, more interesting results are likly to be found, but our approach the simpler concept hierarchies, more interesting results are likely to be found and the more complex concpet hierachies, more complex process generalization in concept tree. the desicion to find interesting rule is influenced with wide or length and depth or level of concept tree.