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SIGIR
2009
ACM
15 years 8 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
101
Voted
ICCSA
2007
Springer
15 years 8 months ago
Public Key Encryption with Keyword Search Based on K-Resilient IBE
An encrypted email is sent from Bob to Alice. A gateway wants to check whether a certain keyword exists in an email or not for some reason (e.g. routing). Nevertheless Alice does n...
Dalia Khader
133
Voted
SAC
2006
ACM
15 years 7 months ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach
SIGIR
2004
ACM
15 years 7 months ago
Implicit queries (IQ) for contextualized search
The Implicit Query (IQ) prototype is a system which automatically generates context-sensitive searches based on a user’s current computing activities. In the demo, we show IQ ru...
Susan T. Dumais, Edward Cutrell, Raman Sarin, Eric...
WWW
2008
ACM
16 years 2 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...