17. The method in claim 8 wherein the probabilistic classifier comprises a Naive Bayesian classifier, a limited dependence Bayesian classifier, a Bayesian network classifier, a decision tree, a support vector machine, or is implemented through use of content matching.
17. The method in claim 8 wherein the probabilistic classifier comprises a Naive Bayesian classifier, a limited dependence Bayesian classifier, a Bayesian network classifier, a decision tree, a support vector machine, or is implemented through use of content matching. 18. The method in claim 17 wherein: the feature data applying step comprises the step of yielding the output confidence level for said incoming message through a support vector machine; and the comparing step comprises the step of thresholding the output confidence level through a predefined sigmoid function to produce the comparison result for the incoming message.