Web Mining using Page/Server Crash and Broken Links Ranking System (PCBRS) Algorithm
Pawan S Hora, Aniket A Gangurde, Nishant A Jain and Sonal Balpande. Article: Web Mining using Page/Server Crash and Broken Links Ranking System (PCBRS) Algorithm. IJCA Proceedings on International Conference on Electronics & Computing Technologies ICONECT:16-20, May 2014. Full text available. BibTeX
@article{key:article,
author = {Pawan S. Hora and Aniket A. Gangurde and Nishant A. Jain and Sonal Balpande},
title = {Article: Web Mining using Page/Server Crash and Broken Links Ranking System (PCBRS) Algorithm},
journal = {IJCA Proceedings on International Conference on Electronics & Computing Technologies},
year = {2014},
volume = {ICONECT},
pages = {16-20},
month = {May},
note = {Full text available}
}
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.
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