zhang-anemailclassification-2005.pdf (1009.91 kB)
An email classification model based on rough set theory
The communication via email is one of the most popular services of the Internet. Emails have brought us great convenience in our daily work and life. However, unsolicited messages or spam, flood our email boxes, which results in bandwidth, time and money wasting. To this end, this paper presents a rough set based model to classify emails into three categories - spam, no-spam and suspicious, rather than two classes (spam and non-spam) in most currently used approaches. By comparing with popular classification methods like Naive Bayes classification, the error ratio that a non-spam is discriminated to spam can be reduced using our proposed model.
History
Event
International Conference on Active Media Technology (3rd : 2005 : Kagawa-gun, Japan)Pagination
403 - 408Publisher
IEEE XploreLocation
Kagawa, JapanPlace of publication
Piscataway, N.J.Start date
2005-05-19End date
2005-05-21ISBN-13
9780780390355ISBN-10
0780390350Language
engNotes
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.Publication classification
E1 Full written paper - refereedCopyright notice
2005, IEEEEditor/Contributor(s)
H Tarumi, Y Li, T YoshidaTitle of proceedings
Proceedings of the 2005 International Conference on Active Media Technology : (AMT2005) : May 19-21, 2005, Kagawa International Conference Hall, Takamatsu, Kagawa, JapanUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC