We propose dynamic anti-spam filtering methods for agglutinative languages in general and
for Turkish in particular, based on Artificial Neural Networks (ANN) and Bayesian filters. The …

We propose anti-spam filtering methods for agglutinative languages in general and for
Turkish in particular. The methods are dynamic and are based on Artificial Neural Networks …

Spam is one of the main problems in emails communications. As the volume of non-english
language spam increases, little work is done in this area. For example, in Arab world users …

SPAM e-mails have a direct cost in terms of time, server storage space, network bandwidth
consumptions and indirect costs to protect privacy and security breaches. Efforts have been …

The paper proposes the use of the multilayer perceptron model to the problem of detecting
ham and spam e-mail patterns. It also proposes an intensive use of data pre-processing and …

Nowadays, e-mail is widely becoming one of the fastest and most economical forms of
communication. Thus, the e-mail is prone to be misused. One such misuse is the posting of …

Technological advances are accelerating the dissemination of information. Today, millions
of devices and their users are connected to the Internet, allowing businesses to interact with …

Most e-mail readers spend a non-trivial amount of time regularly deleting junk e-mail (spam)
messages, even as an expanding volume of such e-mail occupies server storage space and …

In this paper, we propose spam e-mail filtering methods having high accuracies and low
time complexities. The methods are based on the n-gram approach and a heuristics which is …

Earlier methods on spam filtering usually compare the contents of emails against specific
keywords, which are not robust as the spammers frequently change the terms used in …