Spam today represents as much as 85% of all e-mail sent and received, according to the U.N.'s International Telecommunications Union, up from approximately 35% just one year ago. Spam is a true global ...

We suspect that you had more than enough mathematics in the form of Bayes Theorem last week so this week we’ll explain how it’s used in what is called Bayesian filtering to remove spam (note that the ...

No matter how your customers use their computers, there is one common denominator that affects them all: spam, which represents as much as 85 percent of all e-mail sent and received, according to the ...

Bayesian filtering is one of the most effective and intelligent solutions to combat spam email nowadays. Spam is a problem faced by all email users and it shows no sign of slowing down anytime soon; ...

Where can I find a Bayesian spam filter that will run on our Windows and Linux workstations? POPFile is a free Naive-Bayesian spam filter available at popfile.sourceforge.net. It is written in Perl to ...

Of more than 300 billion emails sent every day, at least half are spam. Email providers have the huge task of filtering out spam and making sure their users receive the messages that matter. Spam ...