CFP last date
20 January 2025
Reseach Article

Web Mining using Page/Server Crash and Broken Links Ranking System (PCBRS) Algorithm

Published on May 2014 by Pawan S. Hora, Aniket A. Gangurde, Nishant A. Jain, Sonal Balpande
International Conference on Electronics & Computing Technologies
Foundation of Computer Science USA
ICONECT - Number 1
May 2014
Authors: Pawan S. Hora, Aniket A. Gangurde, Nishant A. Jain, Sonal Balpande
4d86ad95-9ab3-413f-b380-84cd015c15a3

Pawan S. Hora, Aniket A. Gangurde, Nishant A. Jain, Sonal Balpande . Web Mining using Page/Server Crash and Broken Links Ranking System (PCBRS) Algorithm. International Conference on Electronics & Computing Technologies. ICONECT, 1 (May 2014), 16-20.

@article{
author = { Pawan S. Hora, Aniket A. Gangurde, Nishant A. Jain, Sonal Balpande },
title = { Web Mining using Page/Server Crash and Broken Links Ranking System (PCBRS) Algorithm },
journal = { International Conference on Electronics & Computing Technologies },
issue_date = { May 2014 },
volume = { ICONECT },
number = { 1 },
month = { May },
year = { 2014 },
issn = 0975-8887,
pages = { 16-20 },
numpages = 5,
url = { /proceedings/iconect/number1/16477-1419/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Electronics & Computing Technologies
%A Pawan S. Hora
%A Aniket A. Gangurde
%A Nishant A. Jain
%A Sonal Balpande
%T Web Mining using Page/Server Crash and Broken Links Ranking System (PCBRS) Algorithm
%J International Conference on Electronics & Computing Technologies
%@ 0975-8887
%V ICONECT
%N 1
%P 16-20
%D 2014
%I International Journal of Computer Applications
Abstract

In today's world not only big organizations but also a common man needs a lot of information or rather, big chunks of information for his/her work according to their area of interest from the web. So, in short web mining can be defined as a process in which the data is being extracted, filtered and given back to the end user, in order to satisfy his needs for the information that he need, in order to complete his work. In simple terms, it can be compared to the process of practical world mining, wherein, there is an extraction of a particular "RESOURCE" from a particular place. So hence, the web mining can be thought of as a simple DATA as a RESOURCE being extracted from the web, which has a huge reserve's of it. This paper also suggests some of the improvements in the world renowned search engine GOOGLE and also adds some of the features which can prove instrumental in the world of search engines and thus information search.

References
  1. P. T Joseph and S. J, E-Commerce-An Indian perspective, New Delhi, India :PHI Publications, 2012
  2. L. Page, S. Brin, R. Motwani, and T. Winograd, "The Page rank Citation Ranking: Bringing order to the Web". Technical report, Stanford Digital Libraries SIDL-WP-1990-0120, 1999.
  3. L. Page, S. Brin, "The Anatomy of a large scale Hypertextual Web search Engine", Computer Networks and ISDN Systems, Vol 30 ,issue 1-7, pp. 107-117 ,1998.
  4. R. Kumar, P. Raghavan, S. Rajagopalan,D. Sivakumar, A. Tompkins and E. Upfal, "Web as a Graph", Proceedings of the Nineteenth ACM SIGMODSIGACT-SIGART symposium on Database Systems, 2000.
  5. R. Cooley B. Mobasher and J. Srivastava, "Web Mining :Information and Pattern Discovery on the World Wide Web" . "Proceedings of the 9th IEEE International Conference on tools with artificial intelligence, pp. (ICTA197), 1997.
  6. http://computer. howstuffworks. com/internet/basics/search-engine. htm
  7. http://www. youtube. com/watch?v=BNHR6IQJGZs
Index Terms

Computer Science
Information Sciences

Keywords

Search Engines Page Rank Page Crash Broken Links Dead Links Ranking Algorithm.