Appropriate Detection of HAM and Spam Emails Using Machine Learning Algorithm-Reference-Cited by-同舟云学术

Appropriate Detection of HAM and Spam Emails Using Machine Learning Algorithm

Published:2023-05-25 Issue: Volume: Page:
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Container-title:2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Jaya T.¹,Kanyaharini R.¹,Navaneesh Bandi¹

Affiliation:

1. Vels Institute Of Science, Technology and Advanced Studies, (VISTAS),Department of Electronic and Communication Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10199113/10199175/10200007.pdf?arnumber=10200007

Reference10 articles.

1. Using machine learning algorithm and a bio-inspired Meta- heuristic optimization algorithm to identify spam email;gibson,2020

2. Neural networks and grasshopper optimization algorithms are used in the feature selection via multi-objective optimization for the spam detection system;ghaleb,2022

3. Spam email identification using a hybrid water cycle optimization algorithm with evolutionary algorithm;rawashdeh,2019

4. An unsupervised method for identifying social network spammers depending solely on individual data preferences;koggalahva,2022

5. Spam filtering: Comparative analysis of filtering approaches;paswan;Advances in Engineering Science and Management (ICAESM) International Conference,2019

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