Абстрактный

Association Rules Mining in Vertically Distributed Databases

P.Kalaivani, D.Kerana Hanirex, K.P.Kaliyamurthie

Data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to make proactive, knowledge driven decisions. This process helps us to predict future trends and behaviours. Association Rule mining is one of the important and well researched techniques of data mining. We propose a protocol for secure mining of association rules in vertically distributed databases. The protocol [1] was experimented based on Fast Distributed Mining (FDM) algorithm and Secure Multi Party Algorithm over horizontally distributed databases. Our protocol is based on Apriori Algorithm and Secure Multiparty Algorithm simulated over vertically distributed databases. In this Paper, we have shown the experiment results of Apriori Algorithm and Secure Multi Party Algorithm over vertically distributed databases for finding Frequent Item Sets and efficiency over computation of arriving Association Rules.