Binary classification of Internet Traffic for Educational Institutions

Author: Jaspreet Kaur
Edition:
Binding: Paperback
ISBN: 3659301493

Binary classification of Internet Traffic for Educational Institutions

The infinite number of websites in the internet world can be classified into a number of categories depending on the purpose for classification. Get Binary classification of Internet Traffic for Educational Institutions computer books for free.
n educational institutions, it is required that the internet facility be used for academic purposes only. This can happen through accurate classification of network traffic into two classes, educational websites and non-educational websites. In educational institutes, for the optimum use of network resources the use of non-educational websites should be banned. In our research work, we explore the use of ML (machine learning) algorithms for classification of internet traffic into two classes. We discuss the basis for differentiating the traffic into these two classes, and investigate the impact of flexibility Check Binary classification of Internet Traffic for Educational Institutions our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

Binary classification of Internet Traffic for Educational Institutions Download

n educational institutions, it is required that the internet facility be used for academic purposes only. This can happen through accurate classification of network traffic into two classes, educational websites and non-educational websites. In educational institutes, for the optimum use of network resources the use of non-educational websites should be banned. In our research work, we explore the use of ML (machine learning) algorithms for classification of internet traffic into two classes educational institutions, it is required that the internet facility be used for academic purposes only. This can happen through accurate classification of network traffic into two classes, educational websites and non-educational websites. In educational institutes, for the optimum use of network resources the use of non-educational websites should be banned. In our research work, we explore the use of ML (machine learning) algorithms for classification of internet traffic into two classes. We discuss the basis for differentiating the traffic into these two classes, and investigate the impact of flexibility

Related Computer Books