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SIGIR
2009
ACM
15 years 6 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
86
Voted
ICCSA
2007
Springer
15 years 5 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
SAC
2006
ACM
15 years 5 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 5 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 11 days 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, ...