Efficient e-mail spam filtering approach combining Logistic Regression model and Orthogonal Atomic Orbital Search algorithm

Author:

Manita Ghaith,Chhabra AmitORCID,Korbaa Ouajdi

Publisher

Elsevier BV

Subject

Software

Reference103 articles.

1. Email Statistics Report, 2019–2023;Radicati,2019

2. A comparative approach to Naïve Bayes classifier and support vector machine for email spam classification;Ma,2020

3. A comprehensive survey for intelligent spam email detection;Karim;IEEE Access,2019

4. E-mail spam filtering: a review of techniques and trends;Bhowmick,2018

5. Evaluation of machine learning techniques for email spam classification;Jazzar;Int. J. Educ. Manag. Eng.,2021

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