Content-Based Spam Classification of Academic E-mails: A Machine Learning Approach-Reference-Cited by-同舟云学术

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Content-Based Spam Classification of Academic E-mails: A Machine Learning Approach

Published:2023 Issue: Volume: Page:83-92
ISSN:2367-3370
Container-title:Advances in Information Communication Technology and Computing
language:
Short-container-title:

Author:

Iddrisu Wahab Abdul^ORCID,Adjei-Gyabaa Sylvester Kwasi,Akoto Isaac

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9888-1_7

Reference17 articles.

1. Eysenbach G (2003) The impact of the Internet on cancer outcomes. CA Cancer J Clinicians 53:356–371

2. Sharma S, Arora A (2013) Adaptive approach for spam detection. Int J Comput Sci Issues (IJCSI) 10, 23

3. Colladon AF, Gloor PA (2019) Measuring the impact of spammers on e-mail and Twitter networks. Int J Inf Manage 48:254–262

4. Tyagi AK, Aghila G (2011) A wide scale survey on botnet. Int J Comput Appl 34:10–23

5. Islam MR, Zhou W, Choudhury MU (2007) Dynamic feature selection for spam filtering using support vector machine. In: 6th IEEE/ACIS international conference on computer and information science (ICIS 2007), pp 757–762

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