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On the relative age of spam and ham training samples for email filtering
Author(s) -
Gordon V. Cormack,
José-Marcio Martins da Cruz
Publication year - 2009
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/1571941.1572107
Subject(s) - computer science , sample (material) , filter (signal processing) , artificial intelligence , computer vision , chromatography , chemistry
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 messages sent months before those to be filtered. Our results show that filter performance deteriorates with the overall age of spam and ham samples, but at different rates. Spam and ham samples of different ages may be mixed to advantage, provided temporal cues are elided

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