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; ...

Achieving a 98%+ spam detection rate using a mathematical approach This white paper describes how Bayesian mathematics can be applied to the spam problem, resulting in an adaptive, ‘statistical ...

Software maker Roaring Penguin Tuesday released an upgrade to its CanIt anti-spam program that includes Bayesian filters to help the software recognize spam and block it before it reaches end users’ ...