Abstract
A three-way decisions solution and a two-way decisions solution for filtering spam emails are examined in this paper. Compared to two-way decisions, the spam filtering is no longer viewed as a binary classification problem, and each incoming email is accepted as a legitimate or rejected as a spam or undecided as a further-examined email in the three-way decisions. One advantage of the three-way decisions solution for spam filtering is that it can reduce the error rate of classifying a legitimate email to spam with minimum misclassification cost. The other one is that the solution can provide a more meaningful decision procedure for users while it is not restricted to a specific classifier. Experimental results on several corpus show that the three-way decisions solution can get a lower error rate and a lower misclassification cost.
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