Classification of textual E-mail spam using data mining techniques
Applied Computational Intelligence and Soft Computing
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A new text classification algorithm which is based on Ant Colony Algorithm is proposed in this paper. It makes use of the advantage in solving discrete problems by ACO and discreteness of text documents’ features. Texts are classified by crawling of class population ants which have class information with them to find an optimal path matching it during iteration in the algorithm. It can get a satisfactory classification by the experiment.