A Hybrid Technique for Hiding Sensitive Association Rules and Maintaining Database Quality

In this digital world, data mining is a decisive for innovation and better services for user, but it raises the issues about individual privacy. Privacy can be achieved by hiding sensitive or private information in database before publishing it for innovation. This paper presents a hybrid technique for hiding sensitive association rules, which combines two heuristic based techniques viz. Decrease Support and Decrease Confidence of sensitive rule for selection and modification of items from the transactions. The proposed hybrid technique combines advantages of both algorithms to maintain the quality of the database and preserve the privacy of database. From the experimental results it is observed that proposed algorithm is competent to maintain privacy and database quality.