12 search results - page 2 / 3 » Naive Bayes Spam Filtering Using Word-Position-Based Attribu... |
KDD
2008
ACM
14 years 6 months ago
2008
ACM
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...
CEAS
2006
Springer
13 years 9 months ago
2006
Springer
Most spam filters are configured for use at a very low falsepositive rate. Typically, the filters are trained with techniques that optimize accuracy or entropy, rather than perfor...
ICPR
2008
IEEE
14 years 6 days ago
2008
IEEE
In this paper, we report our work on spam filtering with three novel bayesian classification methods: Aggregating One-Dependence Estimators (AODE), Hidden Naïve Bayes (HNB), Loca...
CEAS
2005
Springer
13 years 11 months ago
2005
Springer
Unsolicited commercial email is a significant problem for users and providers of email services. While statistical spam filters have proven useful, senders of spam are learning ...
PKDD
2004
Springer
13 years 11 months ago
2004
Springer
Spam filtering is a text categorization task that has attracted significant attention due to the increasingly huge amounts of junk email on the Internet. While current best-pract...