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KDD
2008
ACM
132views Data Mining» more  KDD 2008»
16 years 4 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
PRL
2008
88views more  PRL 2008»
15 years 4 months ago
Time-efficient spam e-mail filtering using n-gram models
In this paper, we propose spam e-mail filtering methods having high accuracies and low time complexities. The methods are based on the n-gram approach and a heuristics which is re...
Ali Çiltik, Tunga Güngör
NLDB
2007
Springer
15 years 10 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
SIGIR
2009
ACM
15 years 11 months ago
Spam filter evaluation with imprecise ground truth
When trained and evaluated on accurately labeled datasets, online email spam filters are remarkably effective, achieving error rates an order of magnitude better than classifie...
Gordon V. Cormack, Aleksander Kolcz
ACSAC
2006
IEEE
15 years 10 months ago
Enhancing Collaborative Spam Detection with Bloom Filters
Signature-based collaborative spam detection (SCSD) systems provide a promising solution addressing many problems facing statistical spam filters, the most widely adopted technol...
Jeff Yan, Pook Leong Cho