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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Iran Telecom Research Center
2015-12-01
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| Series: | International Journal of Information and Communication Technology Research |
| Subjects: | |
| Online Access: | http://ijict.itrc.ac.ir/article-1-80-en.html |