Research Article
Spam Link Detection using Graph Mining
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 91 - Issue 17 |
| Published: April 2014 |
| Authors: Akankasha Mishra, Sheetal Mehta |
10.5120/16100-5265
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Akankasha Mishra, Sheetal Mehta . Spam Link Detection using Graph Mining. International Journal of Computer Applications. 91, 17 (April 2014), 11-14. DOI=10.5120/16100-5265
@article{ 10.5120/16100-5265,
author = { Akankasha Mishra,Sheetal Mehta },
title = { Spam Link Detection using Graph Mining },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 91 },
number = { 17 },
pages = { 11-14 },
doi = { 10.5120/16100-5265 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Akankasha Mishra
%A Sheetal Mehta
%T Spam Link Detection using Graph Mining%T
%J International Journal of Computer Applications
%V 91
%N 17
%P 11-14
%R 10.5120/16100-5265
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Web deals with huge, diverse, unstructured and dynamic data. The Search Engines are thus an effective way to fetch users query result. Spam poses a significant role in misguiding the web users utilizing spamming techniques on content and link. Thus we need a development of effective and efficient tool that can serve this purpose and thereby minimizes the effect of spam. Link spam can be filtered efficiently using graph based detection. In Graphs based classification nodes are web pages and links are hyperlinks to redirect.
References
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