Preserving Privacy and Data Quality in Database by Hiding Sensitive Association Rules

Some expertise are required for making the decision of data mining. But some organizations get help from some external adviser for the process of data mining because they don’t have their own adviser. At the time of getting advice from the external advisor risk is occurred. The loss of business intelligence and customer data privacy and security related problems arises. It is the challenging issue in the data mining. The data owner has some private data or property like association rules contained in outsourced database. However the integrity of mining results can affect badly if the service provider is not trustworthy. To overcome this problem a heuristic based algorithm called as MDSRRC (Modified Decrease Support of R.H.S item of Rule Clusters) is projected. With the multiple items in antecedent that is L.H.S and consequent that is R.H.S, this algorithm hides the sensitive association rules. The existing rule hiding algorithm DSRRC limitations are overcome by our algorithm. Transactions and items are selected by the projected algorithm based on certain criteria which modify the transactions to hide the sensitive information. This algorithm maintains the database quality and it will be highly efficient.