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KDD
2008
ACM
132views Data Mining» more  KDD 2008»
14 years 7 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
CEAS
2004
Springer
14 years 24 days ago
On Attacking Statistical Spam Filters
The efforts of anti-spammers and spammers has often been described as an arms race. As we devise new ways to stem the flood of bulk mail, spammers respond by working their way ar...
Gregory L. Wittel, Shyhtsun Felix Wu
DEXAW
2009
IEEE
89views Database» more  DEXAW 2009»
13 years 11 months ago
Collaborative Reputation-based Voice Spam Filtering
We propose a collaborative reputation-based voice spam filtering framework. Our approach uses the cumulative online duration of a VoIP user to derive his reputation value. And we l...
Ruishan Zhang, Andrei Gurtov
CAIP
2007
Springer
134views Image Analysis» more  CAIP 2007»
13 years 11 months ago
An Efficient Method for Filtering Image-Based Spam E-mail
Spam e-mail with advertisement text embedded in images presents a great challenge to anti-spam filters. In this paper, we present a fast method to detect image-based spam e-mail. U...
Ngo Phuong Nhung, Tu Minh Phuong
SIGIR
2009
ACM
14 years 1 months ago
On the relative age of spam and ham training samples for email filtering
Email spam filters are commonly trained on a sample of spam and ham (non-spam) messages. We investigate the effect on filter performance of using samples of spam and ham messag...
Gordon V. Cormack, Jose-Marcio Martins da Cruz