An Efficient Privacy Preserving in Frequent Item Set for Cloud Environment Using Apriori

Abstract

Abstract- Cloud computing has become an enormous name in gift era. It's tested to be an excellent resolution for storing and process quantity of knowledge. It provides demand, scalable, pay-as-you go calculate and storage capability. Data processing techniques enforced with cloud computing paradigm square measure terribly helpful to research massive information on clouds. In our thesis we've got used association rule mining as an information mining technique. Especially we've got used Apriori formula for association rule mining. It's been as certained that the first Apriori formula was designed for successive computation thus directly mistreatment it for parallel computation doesn‘t look an honest plan. Thus, we've got improved the Apriori formula (FP Growth) thus on suit it for parallel computation platform. We've got used CloudSim machine for cloud computing.