Most Web-based e-mail applications, for instance, are less reliable in identifying spam than new desktop software and the latest versions of online services are.

While human experts can easily identify spam, it is too expensive to manually evaluate a large number of pages.

Each company has developed its own technologies to identify and discard spam, and they boast of these in their advertising.

Based on these patterns, Commtouch identifies new spam and malware outbreaks as they occur.

Until recently, it hoped to rely mainly on software to identify and discard spam.

As applied to statistical classification, Bayesian inference has been used in recent years to develop algorithms for identifying e-mail spam.

DKIM is a method of labeling a message, and it does not itself filter or identify spam.

In particular, the source domain can feed into a reputation system to better identify spam.

I mean, that's why it's so troubling is that many of us can look in our inbox and easily identify spam.

Other methods of identifying ham (non-spam email) and spam are still used.