Thursday 21st of September 2017
 

Improving the methods of email classification based on words ontology


Foruzan Kiamarzpour, Rouhollah Dianat, Mohammad Bahrani and Mehdi Sadeghzadeh

people and made the valuable information available for the users. Email is the service, which the Internet provides today for its own users; this service has attracted most of the users' attention due to the low cost. Along with the numerous benefits of Email, one of the weaknesses of this service is that the number of received emails is continually being enhanced, thus the ways are needed to automatically filter these disturbing letters. Most of these filters utilize a combination of several techniques such as the Black or white List, using the keywords and so on in order to identify the spam more accurately In this paper, we introduce a new method to classify the spam. We are seeking to increase the accuracy of Email classification by combining the output of several decision trees and the concept of ontology.

Keywords: Data Mining, Email classification, spam detection, decision tree, ontology

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ABOUT THE AUTHORS

Foruzan Kiamarzpour
Department of Computer Engineering, Science and Research Branch of Bushehr, Islamic Azad University, Bushehr, Iran

Rouhollah Dianat
Department of Computer Engineering, Faculty of Engineering University, Qom University, Qom, Iran

Mohammad Bahrani
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

Mehdi Sadeghzadeh
Department of Computer Engineering, Faculty Member, Azad Islamic University of Mahshahr,Mahshahr, Iran


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