2026-03-11T17:10:47Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4041 2022-03-24T23:11:50Z 1582963302567:1597824273898 user-ucsy

Myanmar Spam Filtering using Bayesian Model Kyaw, Thae Naw Naw Myo, Nyein Nyein 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. 2015-02-05 http://hdl.handle.net/20.500.12678/0000004041 https://meral.edu.mm/records/4041