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Spam Detection System Combining Cellular Automata and Naïve Bayes Classifier
International Conference on Web and Information Technologies
In this study, we focus on the problem of spam detection. Based on a cellular automaton approach and naïve Bayes technique which are built as individual classifiers we evaluate a novel method combining multiple classifiers diversified both by feature selection and different classifiers to determine whether we can more accurately detect Spam. This approach combines decisions from three cellular automata diversified by feature selection with that of naïve Bayes classifier. Experimental resultsdblp:conf/icwit/BarigouBA12 fatcat:3ltv2hudxraqvcr6zp5pj2rlre