In this paper, a Turkish anti-spam filtering is implemented to determine text-based Turkish
spam e-mails (junk e-mail or bulk e-mail). Since e-mails are extremely easy and cheap to …

The investigation of performance of Naïve Bayesian machine learning algorithm in the
context of antispamfiltering is done here. The increasing volume of unsolicited bulk e-mail …

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 …

This research proposes a model for presenting email to Artificial Neural Network (ANN) to
classify spam and legitimate emails. The proposed model based on selecting wise 13 fixed …

An efficient email spam filtering system by selecting relevant features to reduce the
dimensions has become a pivotal aspect in the field of machine learning based spam …

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 …

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 …

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 …

Over the last few decades, the advent of telecommunication systems has allowed a growing
exchange of electronic messages around the world. Unfortunately, irrelevant and/or …

E-mail spam, known as unsolicited bulk Email (UBE), junk mail, or unsolicited commercial
email (UCE), is the practice of sending unwanted e-mail messages, frequently with …