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ICMLA
2008
13 years 6 months ago
Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
Spam sender detection based on email subject data is a complex large-scale text mining task. The dataset consists of email subject lines and the corresponding IP address of the em...
Yuchun Tang, Yuanchen He, Sven Krasser
AIRWEB
2008
Springer
13 years 7 months ago
The anti-social tagger: detecting spam in social bookmarking systems
The annotation of web sites in social bookmarking systems has become a popular way to manage and find information on the web. The community structure of such systems attracts spam...
Beate Krause, Christoph Schmitz, Andreas Hotho, Ge...
CIKM
2010
Springer
13 years 3 months ago
Detecting product review spammers using rating behaviors
This paper aims to detect users generating spam reviews or review spammers. We identify several characteristic behaviors of review spammers and model these behaviors so as to dete...
Ee-Peng Lim, Viet-An Nguyen, Nitin Jindal, Bing Li...
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 5 months ago
Algorithmic Detection of Computer Generated Text
ct Computer generated academic papers have been used to expose a lack of thorough human review at several computer science conferences. We assess the problem of classifying such do...
Allen Lavoie, Mukkai Krishnamoorthy
KDD
2004
ACM
196views Data Mining» more  KDD 2004»
14 years 5 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...