Detecting spam e-mail using similarity calculations
AssigneeInternational Business Machines Corporation
InventorsVadakkedathu Rajan, Mark Wegman, Richard Segal, Jason Crawford, Joel Ossher, Jeffrey Kephart
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AssigneeInternational Business Machines Corporation
InventorsVadakkedathu Rajan, Mark Wegman, Richard Segal, Jason Crawford, Joel Ossher, Jeffrey Kephart
Estimating the term…
A method for detecting undesirable e-mails is disclosed. The method includes collecting a plurality of undesirable e-mails, arranging the plurality of undesirable e-mails into a plurality of groups and generating, for each group, at least one token, thereby producing a plurality of tokens for the plurality of undesirable e-mails. The method further includes receiving a first e-mail and generating at least one token for the first e-mail. The method further includes causing a comparison of the at least one token for the first e-mail with at least one of the plurality of tokens for the plurality of undesirable e-mails and identifying the first e-mail as an undesirable e-mail if the at least one token for the first e-mail matches any of the plurality of tokens for the plurality of undesirable e-mails.
A method for detecting undesirable e-mail, the method comprising:
An information processing system for detecting undesirable e-mail, comprising:
A computer readable medium including computer instructions for detecting undesirable e-mail, the computer instructions including instructions for:
A method for detecting undesirable e-mail, the method comprising:
A method for detecting undesirable e-mail, the method comprising:
Dependencies are inferred from the claim text.