Privacy preservation in horizontally partitioned databases using randomized response technique

Association rule mining finds the strong association between the large items of data sets. In this paper we mainly focus on the privacy using Ck secure sum in randomized response technique. Because when the data is distributed among different sites in horizontal partitioning across multiple sites and the sites wish to collaborate to identify valid association rule globally. However the sites must not acknowledge individual data. We presents the multi party transaction data who discover frequent item sets with minimum support, without either sites knowing the individual data.