Ontology-based Classiﬁcation of Email
International Conference on Information Technology: Coding and Computing
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.
Bayesian classifier; Classification; Electronic mail; Electronic mail messages; Electronic mail systems; Feature vectors; Knowledge representation; Ontologies (Information retrieval); Ontology; Ontology-based email classification; Record manager; Sorting (Electronic computers)
Computer Engineering | Computer Sciences | Electrical and Computer Engineering | Software Engineering
Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.
Ontology-based Classiﬁcation of Email.
Presentation at International Conference on Information Technology: Coding and Computing,
Available at: https://digitalscholarship.unlv.edu/ece_presentations/34