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 ...

Some say that if you can’t measure something, you’re not doing science. Bayesian logic offers a way to measure things that were previously unmeasurable, allowing us to test hypotheses and predictions ...

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 ...

People have different reactions to spam. Some occasionally click on spam-looking messages out of curiosity; some just hit the [Delete] key; some use a non-learning spam filter and let it quietly do ...

Good news for spammers, the smart filtering software used to catch spam can be beaten. With a little ingenuity it is possible to create messages that get past anti-spam filters every single time. The ...

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’ ...