Anonymizing Data records in Distributed Data mining over Horizontal partitioned data
Ch G V N Prasad, Katkam Gaurav, Nunavath Yakaiah, Ranjeet Kumar · 2014
Data mining practices are utilized to find out hidden information from large databases. Among several data mining techniques, association rule mining is receiving more focus on the experts to discover correlations between items or items sets efficiently. In distributed database atmosphere, the way the information is distributed plays a crucial part in the issue definition. The information could be distributed horizontally or vertically or in hybrid mode among different websites. There is an increasing demand for computing global association rules for the sources goes to different internet sites in ways that individual data isn't unmasked and site manager knows the global studies and their individual data only. In this paper a model is suggested which assumes a sign based safe total cryptography technique to find worldwide association rules with trusted party by protecting the privacy of the individual’s data if the data is distributed horizontally among different websites.