Mining of Association Model Pair in Multidimensional Structured Database

In the paper we first propose a user preference model with the minimum support intelligent set method. Secondly, we propose a new data mining problem, the structure of the database to find frequent patterns associated pair. To effectively address these problems, we developed a series of cutting ability with a strong algorithm. The new algorithm is also discussed in the one-dimensional and multi-dimensional structure of the database found on the applicability of the model and to assess the efficiency of the new algorithm.