Patent Document ID: 7941437
Application ID: 11844938

Base Claim:
1. A computer implemented method for reducing false classifications during Bayesian filtering, the method comprising the steps of: within a context of Bayesian filtering, analyzing content of at least one document to be classified; determining whether more than a threshold amount of the content of the at least one document is known wherein determining whether more than a threshold amount of the content of the at least one document is known further comprises performing at least one step from a group of steps consisting of: determining a percentage of words of the at least one document that are known from Bayesian filter training; and determining a percentage of a maximum correction value utilized during Bayesian filtering of the at least one document; and classifying the document responsive to results of the determination.

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Claim 6:
6. The method of claim 1 wherein the at least one document comprises at least one email message and the Bayesian filtering classifies the at least one email message as belonging to a single category from a group of categories consisting of: spam; legitimate email; and unknown.