A Clustering Based Feature Selection Approach to Detect Spam in Social Networks

A Clustering Based Feature Selection Approach to Detect Spam in Social Networks

In recent years, online social networks (OSNs) have been expanded with a lot of facilities and many users and enthusiasts have joined to OSNs. On the other hand, the proportion of low-value content such as spam is rapidly growing and releasing in the OSNs. Sometimes the spam advertising purposes, co...

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Bibliographic Details
Main Authors: Mohammad Karim Sohrabi, Firoozeh Karimi
Format: Article
Language:English
Published: Iran Telecom Research Center 2015-12-01
Series:International Journal of Information and Communication Technology Research
Subjects:
spam
spam detection
social networks
feature selection
clustering
Online Access:http://ijict.itrc.ac.ir/article-1-80-en.html

Internet

http://ijict.itrc.ac.ir/article-1-80-en.html

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