An Analytical Review of Privacy Preservation Using K Anonymity along with Bayesian Classifier in Data Mining

Abstract

Privacy Preservation for social media is one of most trending research subject around the world. In addition to its trendiness, it is a very sensitive issue also. People around the world share their private information on the social media without thinking that it may affect their privacy. In such a condition it becomes the unrest duty to prevent the user information which is private. A lot of research workers have already put their ideas on table for the same issue. This paper studies the effect of Bayesian network in contrast to the prevention of the private data over social media. This paper also describes the pros and cons of using Bayesian Network for privacy preservation and also it compares some of the ethical prevention algorithms for the same. The evaluation has been done on the basis of ethical data mining parameters like Precision, Recall, F-Measure