Trigonometric words ranking model for spam message classification-Reference-Cited by-同舟云学术

Trigonometric words ranking model for spam message classification

Published:2022-09-23 Issue: Volume: Page:
ISSN:2047-4954
Container-title:IET Networks
language:en
Short-container-title:IET Networks

Author:

Hadi Suha Mohammed¹,Alsaeedi Ali Hakem²^ORCID,Al‐Shammary Dhiah²,Alkareem Alyasseri Zaid Abdi³⁴⁵,Mohammed Mazin Abed⁶^ORCID,Abdulkareem Karrar Hameed⁷^ORCID,Nuiaa Riyadh Rahef⁸,Jaber Mustafa Musa⁹¹⁰

Affiliation:

1. Informatics Institute for Postgraduate Studies Iraqi Commission for Computer and Informatics Baghdad Iraq

2. College of Computer Science and Information Technology University of Al‐Qadisiyah Al‐Qadisiyah Iraq

3. ECE Department Faculty of Engineering University of Kufa Najaf Iraq

4. Information Technology Research and Development Center (ITRDC) University of Kufa Najaf Iraq

5. College of Engineering University of Warith Al‐Anbiyaa Karbala Iraq

6. College of Computer Science and Information Technology University of Anbar Ramadi Iraq

7. College of Agriculture Al‐Muthanna University Samawah Iraq

8. National Advanced IPv6 Centre (NAv6) University Sains Malaysia Minden Malaysia

9. Department of Computer Science Dijlah University College Baghdad Iraq

10. Department of Computer Science Al‐Turath University College Baghdad Iraq

Publisher

Institution of Engineering and Technology (IET)

Subject

Control and Optimization,Management Science and Operations Research,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ntw2.12063

Reference33 articles.

1. Adaptive intelligent learning approach based on visual anti-spam email model for multi-natural language

2. Towards Filtering of SMS Spam Messages Using Machine Learning Based Technique

3. Kumar V. et al.:Spam email detection using ID3 algorithm and hidden Markov model. In:2018 Conf. Inf. Commun. Technol. CICT 2018 pp. 1–6(2018).https://doi.org/10.1109/INFOCOMTECH.2018.8722378

4. Oberlo (2022).https://www.oberlo.com/statistics/how-many-people-use-internet

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