International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Data mining is the process by which useful knowledge is discovered from database. Publishing various databases for research and analytic purposes may put individual privacy at risk especially if it is possible to uniquely identify the personal details of an individual. Such risks have increased considerably in today's technology-driven world. To overcome such risks and ensure privacy, various anonymization techniques were developed. This paper is to develop a system which safeguards and enhances the privacy of people while still allowing data miners to discover useful information. Thus the privacy as well as utility of the database is balanced efficiently using iterative probabilistic approach towards data anonymization.