Predictive Analytics Based on AutoML Email Spam Detection
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62624-1_20
Reference20 articles.
1. Anshumaanmishra, Pandi, V.: Classifications of E-MAIL SPAM using deep learning approaches, 414–421 (2022). https://doi.org/10.3233/apc220058
2. Cormack, G.V.: Email spam filtering: a systematic review. Found. Trends Inf. Retr. 1(4), 335–455 (2008)
3. Ji, H., Zhang, H.: Analysis on the content features and their correlation of web pages for spam detection. Commun. China (2015)
4. Almeida, T.A., Hidalgo, J.M.G., Yamakami, A.: Contributions to the study of SMS spam filtering. In: Proceedings of the 11th ACM Symposium on Document Engineering - DocEng 2011 (2011)
5. Zavrak, S., Yilmaz, S.: Email spam detection using hierarchical attention hybrid deep learning method. SSRN Electron. J. 90(380) (2022). https://doi.org/10.2139/ssrn.4177036
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