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» Spam, spam, spam, spam: how can we stop it
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CIKM
2009
Springer
13 years 11 months ago
Ensembles in adversarial classification for spam
The standard method for combating spam, either in email or on the web, is to train a classifier on manually labeled instances. As the spammers change their tactics, the performanc...
Deepak Chinavle, Pranam Kolari, Tim Oates, Tim Fin...
ICDCSW
2005
IEEE
14 years 1 months ago
Zmail: Zero-Sum Free Market Control of Spam
The problem of spam is a classic “tragedy of the commons” [10]. We propose the Zmail protocol as a way to preserve email as a “free” common resource for most users, while ...
Benjamin Kuipers, Alex X. Liu, Aashin Gautam, Moha...
AIRWEB
2008
Springer
13 years 9 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...
KDD
2008
ACM
132views Data Mining» more  KDD 2008»
14 years 8 months ago
Partitioned logistic regression for spam filtering
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Ming-wei Chang, Wen-tau Yih, Christopher Meek
NLDB
2007
Springer
14 years 1 months ago
Developing Methods and Heuristics with Low Time Complexities for Filtering Spam Messages
In this paper, we propose methods and heuristics having high accuracies and low time complexities for filtering spam e-mails. The methods are based on the n-gram approach and a heu...
Tunga Güngör, Ali Çiltik