Email Spam Classification Using Support Vector Machine Algorithm

On Email Spam Filtering Using Support Vector Machine

On Email Spam Filtering Using Support Vector Machine

Heart Rate Variability Classification using Support Vector Machine and Genetic Algorithm

Background: Electrocardiogram (ECG) is defined as an electrical signal, which represents cardiac activity. Heart rate variability (HRV) as the variation of interval between two consecutive heartbeats represents the balance between the sympathetic and parasympathetic branches of the autonomic nervous system.Objective: In this study, we aimed to evaluate the efficiency of discrete wavelet transfo...

Spam Email Classification using an Adaptive Ontology

Email has become one of the fastest and most economical forms of communication. However, the increase of email users has resulted in the dramatic increase of spam emails during the past few years. As spammers always try to find a way to evade existing filters, new filters need to be developed to catch spam. Ontologies allow for machine-understandable semantics of data. It is important to share ...

Email Worm Detection Using Naïve Bayes and Support Vector Machine

Pattern Classification Using Support Vector Machine Ensemble

While the support vector machine (SVM) can provide a good generalization performance, the classification result of the SVM is often far from the theoretically expected level in practical implementation because they are based on approximated algorithms due to the high complexity of time and space. To improve the limited classification performance of the real SVM, we propose to use an SVM ensembl...