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 …

The paper elaborates on how text analysis influences classification—a key part of the spam-
filtering process. The authors propose a multistage meta-algorithm for checking classifier …

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 …

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 …

The increasing number of unsolicited e-mail messages (spam) reveals the need for the
development of reliable anti-spam filters. The vast majority of content-based techniques rely …

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 …

Because of the volume of spam e-mail and its evolving nature, many statistical techniques
have been applied until now for the construction of antispam filtering software. In order to …

We investigate the performance of two machine learning algorithms in the context of anti-
spam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a …

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 …

Email has become one of the fastest and most economical forms of communication. Email is
also one of the most ubiquitous and pervasive applications used on a daily basis by millions …