Abstract: A method for detecting undesirable emails combines input from two or more spam classifiers to provide improved classification effectiveness and robustness. The method includes obtaining a score from each of a plurality of constituent spam classifiers by applying them to a given input email. The method further includes obtaining a combined spam score from a combined spam classifier that takes as input the plurality of constituent spam classifier scores, the combined spam classifier being computed automatically in accordance with a specified false-positive vs. false-negative tradeoff. The method further includes identifying the given input email as an undesirable email if the combined spam score indicates that the input e-mail is undesirable.

Abstract: In an electronic mail system, an apparatus and method for providing, in addition to the conventional “Inbox” directory in which all incoming e-mails are normally received, a plurality of appropriately labeled directories for containing e-mails suspected of being spam, grading the level of spaminess of the incoming e-mails and then moving or copying the incoming e-mails into one or more of the spam directories based upon the e-mails' respective levels of spaminess.

Abstract: A method for detecting undesirable emails combines input from two or more spam classifiers to provide improved classification effectiveness and robustness. The method includes obtaining a score from each of a plurality of constituent spam classifiers by applying them to a given input email. The method further includes obtaining a combined spam score from a combined spam classifier that takes as input the plurality of constituent spam classifier scores, the combined spam classifier being computed automatically in accordance with a specified false-positive vs. false-negative tradeoff. The method further includes identifying the given input email as an undesirable email if the combined spam score indicates that the input e-mail is undesirable.