International Conference on Information Technology: Computers and Communications Ontology-based Classification of Email Las Vegas, Nevada April 28-April 30 ISBN: 0-7695-1916-4
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 part of the feature vectors for an underlying Bayesian classifier.
Citation:
Kazem Taghva, Julie Borsack, Jeffrey Coombs, Allen Condit, Steve Lumos, Tom Nartker, "Ontology-based Classification of Email," itcc, pp.194, International Conference on Information Technology: Computers and Communications, 2003 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||