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 :
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