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. 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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	6642/18741
Uncontrolled Keywords:	text spam, stop words, short words form, regular expression, stemming, document processing, naive Bayesian classifier
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD9000 Special industries and trades
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Education
Depositing User:	Nur' Aini Abu Bakar
Date Deposited:	16 May 2012 13:49
Last Modified:	16 May 2012 13:49
URI:	http://irep.iium.edu.my/id/eprint/18741

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