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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Main Authors: Zaidan , A. A., Ahmed, N. N., Abdul Karim, Hazerul, Alam, Gazi Mahabubul, Zaidan, Bilal Bahaa
Format: Article
Language:English
Published: Academic Journals 2011
Subjects:
Online Access:http://irep.iium.edu.my/18741/1/Zaidan_et_al.pdf
http://irep.iium.edu.my/18741/
http://www.academicjournals.org/ajbm/PDF/pdf2011/18Jan/Zaidan%20et%20al.pdf
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spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic HD9000 Special industries and trades
spellingShingle 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/18741/1/Zaidan_et_al.pdf
http://irep.iium.edu.my/18741/
http://www.academicjournals.org/ajbm/PDF/pdf2011/18Jan/Zaidan%20et%20al.pdf
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score 13.149126