Detecting Spam Email with Machine Learning Optimized with Harris Hawks optimizer (HHO) Algorithm

Author:

Mashaleh Ashraf S.,Binti Ibrahim Noor Farizah,Al-Betar Mohammed Azmi,Mustafa Hossam M.J.,Yaseen Qussai M.

Publisher

Elsevier BV

Subject

General Engineering

Reference12 articles.

1. N.O. Hamed, A.H. Samak, and M.A. Ahmad, “ Cloud E-mail Security: An Accurate E-mail Spam Classification Based on Enhanced Binary Differential Evolution ({BDE}) Algorithm,” 1, vol. 5955, 2021.

2. V. Vinitha and K.R. Dhanaraj, “MapReduce mRMR: Random Forests-Based Email Spam Classification in Distributed Environment,” 2019, pp. 241–253.

3. “An Efficient feature selection algorithm for the spam email classification,”;Saleh;Period. Eng. Nat. Sci.,2021

4. “Cognition based spam mail text analysis using combined approach of deep neural network classifier and random forest,”;Sumathi;J. Ambient Intell. Humaniz. Comput.,2021

5. “A New Feature Selection in Email Spam Detection by Particle Swarm Optimization and Fruit Fly Optimization Algorithms,”;Soleimanian;J. Comput. Knowl. Eng.,2019

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