Analysis of machine learning methods for filtering spam messages in email services

摘要

In this paper describes the advantages and disadvantages of methods for detecting and protecting against spam messages in electronic mail services, considers the classification of spam messages and the Naive Bayes spam filter used to classify spam messages. The characteristics and effectiveness of spam filters based on machine learning methods are analyzed.