An Efficient Filtering Technique over Undesirable Data of OSN User Walls
Rakesh Singampalli · 2014
Prevention of unwanted and unauthorized data over Internet has become popular mechanism in online social networks .Authorization and control given to the users to prevent those spams either messages or images. In this paper we are proposing an efficient spam filtering mechanism with Naive Bayesian classification by forwarding the testing samples over training samples of the dataset. Online social networks should be optimized with content based filtering. Wehave proposed an enhanced filtering mechanism by using a machine learning technique based on a content filtering.