Abstract:
We report on the construction of an ontology that applies rules for identification of features to be used for email classification. The associated probabilities for these...Show MoreMetadata
Abstract:
We report on the construction of an ontology that applies rules for identification of features to be used for email classification. The associated probabilities for these features are then calculated from the training set of emails and used as a part of the feature vectors for an underlying Bayesian classifier.
Published in: Proceedings ITCC 2003. International Conference on Information Technology: Coding and Computing
Date of Conference: 28-30 April 2003
Date Added to IEEE Xplore: 07 May 2003
Print ISBN:0-7695-1916-4