Privacy preserving research based on association rule algorithm

Privacy protection based on association rules aim is to find a data set of the original approach, making the mining of sensitive rules is to implement a data mining process is not to be found. To efficiently achieve privacy protection, this article combine the PPARM algorithm and IMBA algorithm, through the operation of sensitive items to do less, it will hidden sensitive rules more greater degree. It is making little effect on non-sensitive rules at the same time. That is making loss rate of the rules of the original database smaller. Theoretical and experimental results show that the algorithm is highly efficient, is a better method related to privacy protection.