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Finding a Spam Email Messages Using Data Mining Methods

Snezhana Sulova ()

Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, 2016, issue 2, 117-123

Abstract: 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.

Keywords: Data Mining; Web Mining; classification; Support Vector Machines; Naive Bayes; Internet; e-mail; spam; RapidMiner (search for similar items in EconPapers)
JEL-codes: A00 (search for similar items in EconPapers)
Date: 2016
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Handle: RePEc:vra:journl:y:2016:i:2:p:117-123