Machine Learning Model for the E-mail Spam Detection with Data Mining Techniques-Reference-Cited by-同舟云学术

Machine Learning Model for the E-mail Spam Detection with Data Mining Techniques

Published:2023 Issue: Volume: Page:511-519
ISSN:2367-3370
Container-title:Information and Communication Technology for Competitive Strategies (ICTCS 2022)
language:
Short-container-title:

Author:

Kinha Sakshi,Gupta Ganesh,Kavita

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9638-2_44

Reference14 articles.

1. Venkatraman S, Surendiran B, Arun Raj Kumar P (2020) Spam e-mail classification for the internet of things environment using semantic similarity approach. J Supercomput 76:756–776

2. Qi M, Mousoli R (2010) Semantic analysis for spam filtering. In: 2010 seventh international conference on fuzzy systems and knowledge discovery, pp 2914–2917

3. Zhang Q, Yang H, Yuan Z, Sun J (2010) Studies on the semantic body-based spam filtering. In: 2010, international conference of information science and management engineering, pp 233–236

4. Han A, Kim H, Ha I, Jo G (2008) Semantic analysis of user behaviors for detecting spam mail. In: 2008 IEEE international workshop on semantic computing and applications, pp 91–95

5. Vijayasekaran G, Ros S (2018) Spam and email detection in big data platform using Naives Bayesian classifier. Int J Comput Sci Mob Comput 7(4):53–58

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classification of Spam and Ham Emails with Machine Learning Techniques for Cyber Security;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24