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Reseach Article

A Cluster based Probabilistic Model for Link Prediction to Improve User Interface over Internet

by Vivek Rawat, Sumit Vaashishtha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 106 - Number 7
Year of Publication: 2014
Authors: Vivek Rawat, Sumit Vaashishtha
10.5120/18532-9738

Vivek Rawat, Sumit Vaashishtha . A Cluster based Probabilistic Model for Link Prediction to Improve User Interface over Internet. International Journal of Computer Applications. 106, 7 ( November 2014), 18-22. DOI=10.5120/18532-9738

@article{ 10.5120/18532-9738,
author = { Vivek Rawat, Sumit Vaashishtha },
title = { A Cluster based Probabilistic Model for Link Prediction to Improve User Interface over Internet },
journal = { International Journal of Computer Applications },
issue_date = { November 2014 },
volume = { 106 },
number = { 7 },
month = { November },
year = { 2014 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume106/number7/18532-9738/ },
doi = { 10.5120/18532-9738 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:38:46.112680+05:30
%A Vivek Rawat
%A Sumit Vaashishtha
%T A Cluster based Probabilistic Model for Link Prediction to Improve User Interface over Internet
%J International Journal of Computer Applications
%@ 0975-8887
%V 106
%N 7
%P 18-22
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Rapid growth of web application has increased the researcher's interests in today's world. The world hasbeen surrounded by the computer's network. There exists a very useful application call web application that is used for the purpose of communication and data transfer. An application that is accessed with the help of web browser over a network is called as the web application. Web caching is considered to be the well-known strategy for improving the performance of Web based system. This performance is improved by keeping the Web objects that are likely to be used in the near future in location that is closer to user. The Web caching mechanisms therefore are implemented at three levels namely: (i) client level, (ii) proxy level and (iii) original server level. Significantly, proxy servers play the vital roles between users and web sites in reducing the response time of user requests as well as saving of network bandwidth. Thus, for achieving the better response time, an efficient caching approach must be implemented in a proxy server. This paper further includes weighted rule mining concept, cluster based link prediction and Markov model for fast and frequent web pre fetching.

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Index Terms

Computer Science
Information Sciences

Keywords

Web Services Pre-fetching Log file cluster