A New Spam Short Message Classification

This paper proposes an approach of dual-filtering messages. First the combination of KNN classification algorithm and rough set separates spam messages from messages. To avoid lowering precision for reduction, it needs to use KNN classification algorithm to re-filter some messages. This method not only improves the speed of classification but also retains high accuracy based on rough set of KNN classification algorithm.

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