Spam filtering using Association Rules and Naïve Bayes Classifier
Tianda Yang, Kai Guo Qian, Dan Chia-Tien Lo, Kamal Al Nasr, Ying Qian · 2015
E-mail service is one of the most popular Internet communication services. Thousands of companies, organizations and individuals use e-mail every day and get benefit from it. However, an amount of spam emails always hang around us and bring down our productivity. We urgently need a spam filtering to clean up our network environment. A spam filtering using Association Rule and Naïve Bayes Classifier is recommended here. Instead of focusing on increasing spam precision rate, we try to preserve all non-spam emails as the first priority. In the real world applications and services, that's what we should do. In this paper, we also provide the comparison between using both Association Rule and Naïve Bayes Classifier algorithms and just using Naïve Bayes Classifier.