Title :
Learning to classify email: a survey
Author :
Wang, Xiao-Lin ; Cloete, Ian
Author_Institution :
Int. Univ. in Germany, Bruchsal, Germany
Abstract :
Email communication has become widespread, but the exponential increase in spam (unsolicited email) and the increase in the volume of email, can make the use of email for communication tedious and time consuming. This paper reviews recent approaches to filter out spam email, to classify email into a hierarchy of folders, and to automatically determine the tasks required in response to an email message.
Keywords :
Bayes methods; Internet; classification; information filtering; information filters; ontologies (artificial intelligence); unsolicited e-mail; email classification; email communication; email message; email ontology; naive Bayes; spam email filtering; spam filter; support vector machines; unsolicited email; Electronic mail; Feature extraction; Filters; HTML; Ontologies; Postal services; Support vector machine classification; Support vector machines; Unsolicited electronic mail; User interfaces; Email classification; Support Vector Machines; TF-IDF; email ontology; naive Bayes; spam filters;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527956
