Performance Analysis of Selected Data Mining Algorithms on Social Network Data and Discovery of User Latent Behavior

摘要

This paper is summery for experimental research work carried out on internet usage activities of students on social network sites. The summarized research work has proposed a novel and efficient method for discovery of user latent behavior from the student's datasets. A comparison with existing standard method is also presented which show that the proposed approach is better on the basis of accuracy, error rates, time sharing etc. features.