To solve the problem that the existing privacy preserving association rule mining algorithm cannot meet better trade-off between efficiency and accuracy

the paper proposes average information distributed clustering hybrid algorithm.The algorithm creates a vector of association rules

which uses content of information theory.Accumulation of calculation information source the number of times and extraction obvious features of a potential

the potential characteristics of the neighborhood as clustering object clustering

and the introduction of data mining association ontology concept

digging under the conditions of the non-monotonicity constraint

to overcome the weakening drawbacks associated space data by the Privacy.The experiments show that the algorithm can obtain a good tradeoff between accuracy and efficiency in the case of the protection of privacy.