@inproceedings{7c2e38e47a6647af8c031eadcfa35be1,
title = "Spam filtering using Association Rules and Na{\"i}ve Bayes Classifier",
abstract = "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 Na{\"i}ve 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 Na{\"i}ve Bayes Classifier algorithms and just using Na{\"i}ve Bayes Classifier.",
keywords = "Apriori algorithm, Association Rule, Hadoop, Na{\"i}ve Bayes Classifier, Spam, Spam filter",
author = "Tianda Yang and Kai Qian and Lo, {Dan Chia Tien} and {Al Nasr}, Kamal and Ying Qian",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd IEEE International Conference on Progress in Informatics and Computing, PIC 2015 ; Conference date: 18-12-2015 Through 20-12-2015",
year = "2016",
month = jun,
day = "10",
doi = "10.1109/PIC.2015.7489926",
language = "English (US)",
series = "Proceedings of 2015 IEEE International Conference on Progress in Informatics and Computing, PIC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "638--642",
editor = "Liang Xiao and Yinglin Wang",
booktitle = "Proceedings of 2015 IEEE International Conference on Progress in Informatics and Computing, PIC 2015",
}