The upsurge in the volume of unwanted emails called spam has created an intense need for
the development of more dependable and robust antispam filters. Machine learning …

Personal and business users prefer to use e-mail as one of the crucial sources of
communication. The usage and importance of e-mails continuously grow despite the …

The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a
need for reliable anti-spam filters. Machine learning techniques now days used to …

E-mail spam has become an increasingly important problem with a big economic impact in
society. Fortunately, there are different approaches allowing to automatically detect and …

The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a
need for reliable antispam filters. Using a classifier based on machine learning techniques …

Nowadays e-mail spam is not a novelty, but it is still an important rising problem with a big
economic impact in society. Fortunately, there are different approaches able to automatically …

Advances in communication allow people flexibility to communicate in various ways.
Electronic mail (email) is one of the most used communication methods for personal or …

Resulting from the huge expansion of Internet usage, the problem of unsolicited commercial
e-mail (UCE) has grown astronomically. Although a good number of successful content …

Recent developments in electronic communication, which is one of the crucial
communication tools owing to wide spreading internet technologies, heightened the …

This research proposed an improved filtering spam technique for suspected emails,
messages based on feature weight and the combination of two-step clustering and logistic …