Spam filtering approach based on weighted version of Possibilistic c-Means
Other Title(s)
أسلوب لتصفية البريد المزعج اعتمادا على نسخة موزونه من Possibilistic c-Means
Joint Authors
Hamid, Sarab Majid
Muhammad, Marwan Badran
Source
Issue
Vol. 58, Issue 2C (30 Jun. 2017), pp.1112-1127, 16 p.
Publisher
University of Baghdad College of Science
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
16
Main Subjects
Information Technology and Computer Science
Abstract EN
A principal problem of any internet user is the increasing number of spam, which became a great problem today.
Therefore, spam filtering has become a research fo-cus that attracts the attention of several security researchers and practitioners.
Spam filtering can be viewed as a two-class classification problem.
To this end, this paper proposes a spam filtering approach based on Possibilistic c-Means (PCM) algorithm and weighted distance coined as (WFCM) that can efficiently distinguish between spam and legitimate email messages.
The objective of the formulated fuzzy problem is to construct two fuzzy clusters: spam and email clusters.
The weight assignment is set by information gain algorithm.
Experimental results on spam based benchmark dataset reveal that proper setting of feature-weight can improve the performance of the proposed spam filtering approach.
Furthermore, the proposed spam filtering approach performance is better than PCM and Naïve Bayes filtering technique.
American Psychological Association (APA)
Hamid, Sarab Majid& Muhammad, Marwan Badran. 2017. Spam filtering approach based on weighted version of Possibilistic c-Means. Iraqi Journal of Science،Vol. 58, no. 2C, pp.1112-1127.
https://search.emarefa.net/detail/BIM-790625
Modern Language Association (MLA)
Hamid, Sarab Majid& Muhammad, Marwan Badran. Spam filtering approach based on weighted version of Possibilistic c-Means. Iraqi Journal of Science Vol. 58, no. 2C (2017), pp.1112-1127.
https://search.emarefa.net/detail/BIM-790625
American Medical Association (AMA)
Hamid, Sarab Majid& Muhammad, Marwan Badran. Spam filtering approach based on weighted version of Possibilistic c-Means. Iraqi Journal of Science. 2017. Vol. 58, no. 2C, pp.1112-1127.
https://search.emarefa.net/detail/BIM-790625
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1127
Record ID
BIM-790625