Analyzing Behavioral Features for Email Classification

@inproceedings{Martin2005AnalyzingBF,
  title={Analyzing Behavioral Features for Email Classification},
  author={Steve Martin and Blaine Nelson and Anil Sewani and Karl Chen and Anthony D. Joseph},
  booktitle={CEAS},
  year={2005}
}
Many researchers have applied statistical analysis techniques to email for classification purposes, such as identifying spam messages. Such approaches can be highly effective, however many examine incoming email exclusively — which does not provide detailed information about an individual user’s behavior. Only by analyzing outgoing messages can a user’s behavior be ascertained. Our contributions are: the use of empirical analysis to select an optimum, novel collection of behavioral features of… CONTINUE READING
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