DocumentCode
1895386
Title
Unsupervised email vector space model (UEVSM)
Author
Ayodele, Taiwo
Author_Institution
Dept. of Electron. & Comput. Eng., Univ. of Portsmouth, Portsmouth, UK
fYear
2010
fDate
8-11 Nov. 2010
Firstpage
1
Lastpage
5
Abstract
There are many challenges of grouping email messages. One of the challenging issues of email message group is to pinpoint when the clustering process accumulates accurate and sufficient information for grouping is archived. In this work, an unsupervised machine learning technique has been developed based on unsupervised clustering method (UCM). The proposed unsupervised clustering method is new and different from other existing UCMs such as: email evolving clustering method.
Keywords
electronic mail; pattern clustering; unsupervised learning; vectors; email message group; unsupervised clustering method; unsupervised email vector space model; unsupervised machine learning technique; Europe; Indexes; Semantics;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Technology and Secured Transactions (ICITST), 2010 International Conference for
Conference_Location
London
Print_ISBN
978-1-4244-8862-9
Electronic_ISBN
978-0-9564263-6-9
Type
conf
Filename
5678093
Link To Document