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Anti-spam techniques / Email spam / Spam / Honeypot / Social networking spam / Mobile phone spam / Social networking service / Spamming / Internet / Computing


Discovering Spammers in Social Networks Yin Zhu† , Xiao Wang? , Erheng Zhong† , Nanthan N. Liu† , He Li? , Qiang Yang† † Hong Kong University of Science and Technology, Hong Kong ?
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Document Date: 2012-04-18 11:56:31


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File Size: 305,04 KB

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Company

IEEE Intelligent Systems / Method Precision / Twitter / Facebook / Wilson / Renren Inc. / Discussion Our / MySpace / EuroSys Social Network Systems / /

Country

China / /

Currency

SGD / /

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Event

Product Issues / Product Recall / /

Facility

Hong Kong University of Science / J port / /

IndustryTerm

news media / anti-spamming systems / optimization algorithm / Web page detection / social networking site / Web spam taxonomy / a lot of machine learning applications / undirected social network / larger social network / social media websites / signal processing / web security measures / email systems / intuitive solution / community detection algorithm / realworld social network / social media / social media increases / social applications / large scale social network / social networking / gradient descent algorithm / web site recommendation / message systems / social networks / Internet Measurement Conference / social network / power law distribution / relation network / /

Organization

SVM SMFSR / Association for the Advancement / U.S. Securities and Exchange Commission / Hong Kong University of Science and Technology / Hong Kong / US Federal Reserve / Artificial Copyright Intelligence / /

Person

Steve / Qiang Yang / Almeida / V / John / Xiao Wang / /

Position

classification model for spammer prediction / SVM model for spammer prediction / King / /

Product

Pentax K-x Digital Camera / F1-score SVM / SF+SVM / /

PublishedMedium

IEEE Intelligent Systems / /

Technology

SMS / MF-based algorithm / gradient descent algorithm / instant messaging / machine learning / community detection algorithm / Evaluation Protocol / proposed algorithm / corresponding optimization algorithm / 2 i=1 Algorithm / /

URL

www.renren.com / http /

SocialTag