Enhancing Spam Email Classification using Multilayer Perceptron: Performance Analysis and Comparative Evaluation-Reference-Cited by-同舟云学术

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Enhancing Spam Email Classification using Multilayer Perceptron: Performance Analysis and Comparative Evaluation

Published:2023-10-25 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Pattern Analysis and Intelligent Systems (PAIS)
language:
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Author:

Khababa Ghizlane¹,Harun Nor Hazlyna²,Bessou Sadik¹,Ning Chu Sin³,Poa Ning Ooi³

Affiliation:

1. Sétif 1 University,Faculty of Sciences,Department of Computer Sciences,Sétif,Algeria,19137

2. Universiti Utara Malaysia,Data Science Research Lab (DSRL) School of Computing,Sintok,Kedah,Malaysia

3. Universiti Utara Malaysia,School of Computing,Sintok,Kedah,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10321956/10321971/10322017.pdf?arnumber=10322017

Reference20 articles.

1. A Method for Fast Selection of Machine-Learning Classifiers for Spam Filtering;rapacz;Electronics,2021

2. Semantic Graph Neural Network: A Conversion from Spam Email Classification to Graph Classification

3. A Comprehensive Review on Email Spam Classification using Machine Learning Algorithms

4. Unsupervised Approach for Email Spam Filtering using Data Mining

5. Email Spam Classification by Support Vector Machine

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