DocumentCode
2228222
Title
A neural network based approach to automated e-mail classification
Author
Clark, James ; Koprinska, Irena ; Poon, Josiah
Author_Institution
Sch. of Inf. Technol., Sydney Univ., NSW, Australia
fYear
2003
fDate
13-17 Oct. 2003
Firstpage
702
Lastpage
705
Abstract
We present a neural network based system for automated e-mail filing into folders and anti-spam filtering. The experiments show that it is more accurate than several other techniques. We also investigate the effects of various feature selection, weighting and normalization methods, and also the portability of the anti-spam filter across different users.
Keywords
Internet; information filters; learning (artificial intelligence); neural nets; unsolicited e-mail; anti-spam filtering; automated e-mail classification; feature selection; neural network based system; normalization method; Australia; Electronic mail; HTML; Information filtering; Information filters; Information technology; Neural networks; Niobium; Organizing; Postal services;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence, 2003. WI 2003. Proceedings. IEEE/WIC International Conference on
Print_ISBN
0-7695-1932-6
Type
conf
DOI
10.1109/WI.2003.1241300
Filename
1241300
Link To Document