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Comparative Analysis of Comfort Prediction in Web Tracking Using Different Classifiers


Ravinder Singh, Jaisukhpal Singh, Kashish Thakur and Shaina Gupta
Abstract

Web Tracking refers to the method of archiving the existing sites and tracking the changes to those sites over time. It is widely used method of monitoring (using specialized software tools) to keep tabs on the activities of the users, which in most cases are unaware of the fact that they are being tracked. There is an inherent information irregularity in web privacy for the reasons like lack of adequate revelation of data tracking and collection practices, the data use policies by the websites and limitation of the users in understanding these tracking procedure and purposes. In this study we are doing a comparative analysis of comfort prediction in web tracking using different classifiers based on different situations in both desktop and mobile devices.

Volume 11 | 12-Special Issue

Pages: 631-636

DOI: 10.5373/JARDCS/V11SP12/20193259