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» Detecting Link Spam Using Temporal Information
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ICCV
2003
IEEE
16 years 5 months ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang
168
Voted
ACSAC
2010
IEEE
15 years 24 days ago
Detecting spammers on social networks
Social networking has become a popular way for users to meet and interact online. Users spend a significant amount of time on popular social network platforms (such as Facebook, M...
Gianluca Stringhini, Christopher Kruegel, Giovanni...
134
Voted
CIKM
2011
Springer
14 years 3 months ago
Content-driven detection of campaigns in social media
We study the problem of detecting coordinated free text campaigns in large-scale social media. These campaigns – ranging from coordinated spam messages to promotional and advert...
Kyumin Lee, James Caverlee, Zhiyuan Cheng, Daniel ...
103
Voted
WWW
2006
ACM
16 years 4 months ago
Detecting semantic cloaking on the web
By supplying different versions of a web page to search engines and to browsers, a content provider attempts to cloak the real content from the view of the search engine. Semantic...
Baoning Wu, Brian D. Davison
WASA
2009
Springer
189views Algorithms» more  WASA 2009»
15 years 10 months ago
Information Extraction as Link Prediction: Using Curated Citation Networks to Improve Gene Detection
Abstract. In this paper we explore the usefulness of various types of publicationrelated metadata, such as citation networks and curated databases, for the task of identifying gene...
Andrew Arnold, William W. Cohen