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Bayesiane filter for detecting a spam
Dr. Elma Zanaj, Bledi Shkurti
Volume 12 Issue 10
Global Journal of Computer Science and Technology
Volume 12 Issue 10
Global Journal of Computer Science and Technology
The detected of spam messages in terms that better having a spam email in the inbox than a ham message in the junk, has been investigated recently. The main contribution of the paper consists in comparing three antispam filters used more nowadays, and will find that which is filter is of the future. By using filters we will also create some patterns as the result of training with different number of emails. Simulations show that due to the trainging of the filters it will be easier to detect the spams.
