Comparison of the Intelligent Techniques for Data Mining in Spam Detection to Computer Networks

摘要

Anomalies in computer networks has increased in the last decades and raised concern to create techniques to identify the unusual traffic patterns. This research aims to use data mining techniques in order to correctly identify these anomalies. Weka is a collection of machine learning algorithms for data mining tasks which was used to identify and analyze the anomalies of a data set called SPAMBASE in order to improve this environment.