Editing Anti-spam techniques (section)

=== Machine-learning-based systems ===
Artificial intelligence techniques can be deployed for filtering spam emails, such as artificial neural networks algorithms and Bayesian filters. These methods use probabilistic methods to train the networks, such as examination of the concentration or frequency of words seen in the spam versus legitimate email contents.<ref>{{cite book |last1=Özgür |first1=Levent |last2=Güngör |first2=Tunga |last3=Gürgen |first3=Fikret |chapter=Spam Mail Detection Using Artificial Neural Network and Bayesian Filter |title=Intelligent Data Engineering and Automated Learning – IDEAL 2004 |volume=3177 |pages=[https://archive.org/details/intelligentdatae0000idea/page/505 505–510] |doi=10.1007/978-3-540-28651-6_74 |series=Lecture Notes in Computer Science |year=2004 |isbn=978-3-540-22881-3 |chapter-url=https://archive.org/details/intelligentdatae0000idea/page/505 }}</ref>