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CEAS
2005
Springer
15 years 2 months ago
Naive Bayes Spam Filtering Using Word-Position-Based Attributes
This paper explores the use of the naive Bayes classifier as the basis for personalised spam filters. Several machine learning algorithms, including variants of naive Bayes, hav...
Johan Hovold
CEAS
2005
Springer
15 years 2 months ago
Automatic Discovery of Personal Topics to Organize Email
We present in this paper a procedure to automatically discover a user s personal topics by clustering their emails. Unlike previous work, we automatically label topics using appro...
Arun C. Surendran, John C. Platt, Erin Renshaw
CEAS
2005
Springer
15 years 2 months ago
Reply Expectation Prediction for Email Management
We reduce email overload by addressing the problem of waiting for a reply to one’s email. We predict whether sent and received emails necessitate a reply, enabling the user to b...
Mark Dredze, John Blitzer, Fernando Pereira
CEAS
2005
Springer
15 years 2 months ago
Spam Deobfuscation using a Hidden Markov Model
To circumvent spam filters, many spammers attempt to obfuscate their emails by deliberately misspelling words or introducing other errors into the text. For example viagra may be...
Honglak Lee, Andrew Y. Ng
CEAS
2005
Springer
15 years 2 months ago
A Game Theoretic Model of Spam E-Mailing
We discuss how the interaction between spam senders and e-mail users can be modelled as a two-player adversary game. We show how the resulting model can be used to predict the str...
Ion Androutsopoulos, Evangelos F. Magirou, Dimitri...
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