149
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CEAS
15 years 10 months ago
2005 Springer 
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...
118
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CEAS
15 years 10 months ago
2005 Springer
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...
140
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CEAS
15 years 10 months ago
2005 Springer
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...
127
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CEAS
15 years 10 months ago
2005 Springer
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...
123
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CEAS
15 years 10 months ago
2005 Springer
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...
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