Abstract:
Internet has become rich of information. This
information should be properly managed. Electronic
mail (E-mail) has become a major problem for internet
users and providers. People are using e-mail services
but most of the e-mails are irrelevant or junk called
spams. Spam e-mail is well known problem for both
corporate and personal users of e-mail. The volume of
non-English language spam is increasing day by day.
The motivation for this research is to find a solution for
the internet users in the Myanmar language with
Myanmar e-mail messages received every day in their
mailboxes. So, a classification filter for these e-mails
should be applied on e-mail servers. Bayesian
approach is being popular for filtering spams. This
approach is based on the bayes method. To filter the
spam messages, this research applied Bayesian model
for the framework of Myanmar e-mail spam filtering.
In this paper, we are presenting e-mail mining and
bayesian spam filtering method.
