Abstract: Multidimensional data mining association rules is an important research direction.In this paper,we propose an efficient algorithm for mining multidimensial association rules,which combine data cube technique with FP-Growth efficiently by constructing a MDPI-tree,the algorithm can explores both inter-dimension and hybrid-dimension association rules.Lastly this algorithm is applied to cross-selling model of mobile communication,and we can verificate the practicality and effectiveness of the algorithm by experiment.