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Reseach Article

Spam Link Detection using Graph Mining

by Akankasha Mishra, Sheetal Mehta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 91 - Number 17
Year of Publication: 2014
Authors: Akankasha Mishra, Sheetal Mehta
10.5120/16100-5265

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 },
issue_date = { April 2014 },
volume = { 91 },
number = { 17 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 11-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume91/number17/16100-5265/ },
doi = { 10.5120/16100-5265 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:12:59.108484+05:30
%A Akankasha Mishra
%A Sheetal Mehta
%T Spam Link Detection using Graph Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 91
%N 17
%P 11-14
%D 2014
%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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Index Terms

Computer Science
Information Sciences

Keywords

Spam Detection Link Spam Page-Rank Classification.