Spam filtering based on naïve Bayesian with information gain and ant colony system
Other Title(s)
نظام تصفية الرسائل الإلكترونية الغير مرغوب فيها بتهجين طريقة اختيار الخواص باستخدام كسب المعلومات و نظام مستعمرة النمل
Joint Authors
Abd al-Ghafur, Huda Adil
Hashim, Sukaynah Hasan
Source
Issue
Vol. 57, Issue 1C (31 Mar. 2016), pp.719-727, 9 p.
Publisher
University of Baghdad College of Science
Publication Date
2016-03-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
This research introduces a proposed hybrid Spam Filtering System (SFS) which consists of Ant Colony System (ACS), information gain (IG) and Naïve Bayesian (NB).
The aim of the proposed hybrid spam filtering is to classify the e-mails with high accuracy.
The hybrid spam filtering consists of three consequence stages.
In the first stage, the information gain (IG) for each attributes (i.e.
weight for each feature) is computed.
Then, the Ant Colony System algorithm selects the best features that the most intrinsic correlated attributes in classification.
Finally, the third stage is dedicated to classify the e-mail using Naïve Bayesian (NB) algorithm.
The experiment is conducted on spambase dataset.
The result shows that the accuracy of NB with IG-ACS is better than NB with IG only
American Psychological Association (APA)
Abd al-Ghafur, Huda Adil& Hashim, Sukaynah Hasan. 2016. Spam filtering based on naïve Bayesian with information gain and ant colony system. Iraqi Journal of Science،Vol. 57, no. 1C, pp.719-727.
https://search.emarefa.net/detail/BIM-688677
Modern Language Association (MLA)
Abd al-Ghafur, Huda Adil& Hashim, Sukaynah Hasan. Spam filtering based on naïve Bayesian with information gain and ant colony system. Iraqi Journal of Science Vol. 57, no. 1C (2016), pp.719-727.
https://search.emarefa.net/detail/BIM-688677
American Medical Association (AMA)
Abd al-Ghafur, Huda Adil& Hashim, Sukaynah Hasan. Spam filtering based on naïve Bayesian with information gain and ant colony system. Iraqi Journal of Science. 2016. Vol. 57, no. 1C, pp.719-727.
https://search.emarefa.net/detail/BIM-688677
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 727
Record ID
BIM-688677