Spam influence on business and economy: theoretical and experimental studies for textual anti-spam filtering using mature document processing and naive Bayesian classifier
more than 31 trillion spams have been sent in 2009. These spam or “junk mails” can involve various kinds of messages such as commercial advertising, pornography, viruses, doubtful product, get rich quick scheme or quasi legal services. In this paper, a direct attention has been paid to the text spam...
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Online Access: | http://irep.iium.edu.my/18741/ http://irep.iium.edu.my/18741/ http://irep.iium.edu.my/18741/1/Zaidan_et_al.pdf |
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iium-187412012-05-16T05:49:26Z http://irep.iium.edu.my/18741/ Spam influence on business and economy: theoretical and experimental studies for textual anti-spam filtering using mature document processing and naive Bayesian classifier Zaidan , A. A. Ahmed, N. N. Abdul Karim, Hazerul Alam, Gazi Mahabubul Zaidan, Bilal Bahaa HD9000 Special industries and trades more than 31 trillion spams have been sent in 2009. These spam or “junk mails” can involve various kinds of messages such as commercial advertising, pornography, viruses, doubtful product, get rich quick scheme or quasi legal services. In this paper, a direct attention has been paid to the text spam, and in particular, the process of text spam and the tricks of the spammers have been described in this paper. Moreover, the author described the implementation of the text content analysis and classification, using different document processing techniques (that is, stop words, short words form, regular expression, stemming etc.) and naive Bayesian classifier. In addition to that, the author has depicted the practical work of the document processing and naive Bayesian classifier towards implementing an accurate anti-spam system. Academic Journals 2011-01-18 Article PeerReviewed application/pdf en http://irep.iium.edu.my/18741/1/Zaidan_et_al.pdf Zaidan , A. A. and Ahmed, N. N. and Abdul Karim, Hazerul and Alam, Gazi Mahabubul and Zaidan, Bilal Bahaa (2011) Spam influence on business and economy: theoretical and experimental studies for textual anti-spam filtering using mature document processing and naive Bayesian classifier. African Journal of Business Management, 5 (2). pp. 596-607. ISSN 1993-8233 http://www.academicjournals.org/ajbm/PDF/pdf2011/18Jan/Zaidan%20et%20al.pdf |
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HD9000 Special industries and trades Zaidan , A. A. Ahmed, N. N. Abdul Karim, Hazerul Alam, Gazi Mahabubul Zaidan, Bilal Bahaa Spam influence on business and economy: theoretical and experimental studies for textual anti-spam filtering using mature document processing and naive Bayesian classifier |
description |
more than 31 trillion spams have been sent in 2009. These spam or “junk mails” can involve various kinds of messages such as commercial advertising, pornography, viruses, doubtful product, get rich quick scheme or quasi legal services. In this paper, a direct attention has been paid to the text spam, and in particular, the process of text spam and the tricks of the spammers have been described in this
paper. Moreover, the author described the implementation of the text content analysis and classification, using different document processing techniques (that is, stop words, short words form, regular expression, stemming etc.) and naive Bayesian classifier. In addition to that, the author has depicted the practical work of the document processing and naive Bayesian classifier towards
implementing an accurate anti-spam system. |
format |
Article |
author |
Zaidan , A. A. Ahmed, N. N. Abdul Karim, Hazerul Alam, Gazi Mahabubul Zaidan, Bilal Bahaa |
author_facet |
Zaidan , A. A. Ahmed, N. N. Abdul Karim, Hazerul Alam, Gazi Mahabubul Zaidan, Bilal Bahaa |
author_sort |
Zaidan , A. A. |
title |
Spam influence on business and economy: theoretical
and experimental studies for textual anti-spam filtering
using mature document processing and naive Bayesian
classifier |
title_short |
Spam influence on business and economy: theoretical
and experimental studies for textual anti-spam filtering
using mature document processing and naive Bayesian
classifier |
title_full |
Spam influence on business and economy: theoretical
and experimental studies for textual anti-spam filtering
using mature document processing and naive Bayesian
classifier |
title_fullStr |
Spam influence on business and economy: theoretical
and experimental studies for textual anti-spam filtering
using mature document processing and naive Bayesian
classifier |
title_full_unstemmed |
Spam influence on business and economy: theoretical
and experimental studies for textual anti-spam filtering
using mature document processing and naive Bayesian
classifier |
title_sort |
spam influence on business and economy: theoretical
and experimental studies for textual anti-spam filtering
using mature document processing and naive bayesian
classifier |
publisher |
Academic Journals |
publishDate |
2011 |
url |
http://irep.iium.edu.my/18741/ http://irep.iium.edu.my/18741/ http://irep.iium.edu.my/18741/1/Zaidan_et_al.pdf |
first_indexed |
2023-09-18T20:27:54Z |
last_indexed |
2023-09-18T20:27:54Z |
_version_ |
1777408540088991744 |