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 ...

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 ...