Performance Improvement and Analysis of Various Web Browsers using Clustering & Classification [ READ ]
Harish Singh Baghel, Dr. Bharat Mishra
Web Browsers is an intermediate application that can be used to access various files and data over internet. Although there are various Web browsers implemented for the access of various sites over internet, but these browsers contains different features on the basis of which the performance of the web browsers is calculated. Here in this paper analysis of various browsers is computed and compared on the basis of various attributes. The dataset containing attributes is analyzed using FCM clustering and rules are generated using decision tree to compute the efficient web browser.
Harish Singh Baghel, Dr. Bharat Mishra
Web Browsers is an intermediate application that can be used to access various files and data over internet. Although there are various Web browsers implemented for the access of various sites over internet, but these browsers contains different features on the basis of which the performance of the web browsers is calculated. Here in this paper analysis of various browsers is computed and compared on the basis of various attributes. The dataset containing attributes is analyzed using FCM clustering and rules are generated using decision tree to compute the efficient web browser.
