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.
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||