Associative Classification Algorithm Applied to the Classification of Chinese SMS

The short messaging service ( SMS) spam was effectively recognized based on the associative classification algorithm, and an algorithm called ACW was proposed. The algorithm generated ordered classification rules with association rules mining method by using the semantic order words. In the experiments, that ACW is better than the traditional associative classification algorithm in the territory of classification of SMS is demonstrated in this paper.