Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network

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Bibliographic Details
Main Author: Gan, Swat Ngo
Format: Final Year Project Report
Language:English
Published: University Malaysia Sarawak, (UNIMAS) 2004
Subjects:
Online Access:http://ir.unimas.my/id/eprint/3326/2/Gan%20Swat%20Ngo.pdf
http://ir.unimas.my/id/eprint/3326/
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spelling my.unimas.ir.33262023-10-04T08:45:55Z http://ir.unimas.my/id/eprint/3326/ Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network Gan, Swat Ngo T Technology (General) University Malaysia Sarawak, (UNIMAS) 2004 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/3326/2/Gan%20Swat%20Ngo.pdf Gan, Swat Ngo (2004) Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network. [Final Year Project Report]
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Gan, Swat Ngo
Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network
format Final Year Project Report
author Gan, Swat Ngo
author_facet Gan, Swat Ngo
author_sort Gan, Swat Ngo
title Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network
title_short Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network
title_full Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network
title_fullStr Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network
title_full_unstemmed Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network
title_sort artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network
publisher University Malaysia Sarawak, (UNIMAS)
publishDate 2004
url http://ir.unimas.my/id/eprint/3326/2/Gan%20Swat%20Ngo.pdf
http://ir.unimas.my/id/eprint/3326/
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score 13.211869