Finding a Spam Email Messages Using Data Mining Methods
Snezhana Sulova · RePEc: Research Papers in Economics · 2016
There are many software solutions that have been developed based on the use of various software technologies for identification of e-mail spam messages. This article presents how we may successfully use data mining methods for identifying spam messages. The proposed approach is based on Supervised Machine Learning methods - Support Vector Machines (SVM) and Naive Bayes (NB). Exemplary model for email messages extraction and classification is implemented in RapidMiner.