Classification of Turkish spam e-mails with artificial immune system

In this study, it is aimed to detect frequently encountered spam e-mails with artificial immune algorithms. Turkish spam and non-spam e-mail dataset are generated within the scope of the work. Fisher discriminant analysis (FDA) and Euclidean Distance (ED) are utilized in order to extract features fr...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Ozdemir, C., Atas, M., Ozer, A. B.
Format:	Tagungsbericht
Sprache:	eng ; tur
Schlagworte:	Algorithm design and analysis artificial immune algorithms Classification algorithms Create a dataset csca FAA Feature extraction fisher Internet Turkish spam e-mails Unsolicited electronic mail
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