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  1. University of Computer Studies, Yangon
  2. Conferences

Myanmar Spam Filtering using Bayesian Model

http://hdl.handle.net/20.500.12678/0000004041
http://hdl.handle.net/20.500.12678/0000004041
2badd6bc-b3c5-4064-8bfe-d38af9ca8821
05af3972-cd2d-446e-a883-9b2764cae978
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4.Myanmar 4.Myanmar Spam Filtering using Bayesian Model.pdf (93 Kb)
Publication type
Article
Upload type
Publication
Title
Title Myanmar Spam Filtering using Bayesian Model
Language en
Publication date 2015-02-05
Authors
Kyaw, Thae Naw Naw
Myo, Nyein Nyein
Description
Internet has become rich of information. Thisinformation should be properly managed. Electronicmail (E-mail) has become a major problem for internetusers and providers. People are using e-mail servicesbut most of the e-mails are irrelevant or junk calledspams. Spam e-mail is well known problem for bothcorporate and personal users of e-mail. The volume ofnon-English language spam is increasing day by day.The motivation for this research is to find a solution forthe internet users in the Myanmar language withMyanmar e-mail messages received every day in theirmailboxes. So, a classification filter for these e-mailsshould be applied on e-mail servers. Bayesianapproach is being popular for filtering spams. Thisapproach is based on the bayes method. To filter thespam messages, this research applied Bayesian modelfor the framework of Myanmar e-mail spam filtering.In this paper, we are presenting e-mail mining andbayesian spam filtering method.
Keywords
E-mail mining, Bayesian spam filtering
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/175
Journal articles
Thirteenth International Conferences on Computer Applications(ICCA 2015)
Conference papers
Books/reports/chapters
Thesis/dissertations
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