Shole Garavand

Work place: Department of Computer Engineering, Sari Branch, Islamic Azad University, Sari, Iran



Research Interests: Software Engineering, Computer systems and computational processes, Artificial Intelligence, Neural Networks, Data Structures and Algorithms


Shole Garavand was born in 1986 in kuhdasht, Iran. After passing the master’s at the Islamic Azad University, Sari branch, currently she is in the process of thesis on the subject of assessing the security of business process in service - oriented architect. Also in the past years he has studied in the field of software engineering and artificial neural networks and the result has been published several volumes of scientific articles in prestigious journals.

Author Articles
Email Spam Detection Using Combination of Particle Swarm Optimization and Artificial Neural Network and Support Vector Machine

By Mohammad Zavvar Meysam Rezaei Shole Garavand

DOI:, Pub. Date: 8 Jul. 2016

The increasing use of e-mail in the world because of its simplicity and low cost, has led many Internet users are interested in developing their work in the context of the Internet. In the meantime, many of the natural or legal persons, to sending e-mails unrelated to mass. Hence, classification and identification of spam emails is very important. In this paper, the combined Particle Swarm Optimization algorithms and Artificial Neural Network for feature selection and Support Vector Machine to classify and separate spam used have and finally, we compared the proposed method with other methods such as data classification Self Organizing Map and K-Means based on criteria Area Under Curve. The results indicate that the Area Under Curve in the proposed method is better than other methods.

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