Research On Algorithm Of Distributed Privacy-preserving Mining Of Association Rules

Data mining has been researched and applied widely in the near few years, and data mining of association rules which is highly demanded in the area of commerce decision-making is one of the most important and fundamental problems in this area, Now most of big corporations have many branches that are self-governed, and people have paid more and more attention to network security, so existing sequential algorithms can't content demand. In this paper, encrpytion tachniques are utilized and an algorithm of privacy-preserving distributed data mining of association rules is proposed, which is named EPDMA, finally a frame of the system of distributed mining of association rules based on EPDMA is proposed.Firstly, data mining of association rules, data mining of association rules on distributed databases and distributed encrpytion techniques are introduced.Secondly, existing algorithms of data mining of association rules on distributed databases are analyzed in detail, and then they are improved on aspects of efficiency and security, whereafter the algorithm of EP_DMA is proposed, later some examples are given and then the merit of EP_DMA can be seen.Finally, a frame of system of distributed mining of Association Rules based on EP_DMA is proposed.