Improved Email Spam Detection Using Integrated Approach of BiGRU-A-LSTM Approach-Reference-Cited by-同舟云学术

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Improved Email Spam Detection Using Integrated Approach of BiGRU-A-LSTM Approach

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS)
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Author:

T S Ragesh¹,Tamizhselvi A²,Patil Harshal³,Mittal Varsha⁴,Kaliappan S.⁵,Maranan Ramya⁶

Affiliation:

1. Prin. L N Welingkar Institute of Management Development and Research,Business Analytics,Bengaluru,India

2. St. Joseph's College of Engineering,Department of Information Technology,Chennai,India

3. Symbiosis Institute of Technology, Symbiosis International (Deemed University),Department of Computer Science and Engineering,Pune,India

4. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun,Uttarakhand,India

5. Lovely Professional University,Division of Research and Development,Phagwara,Punjab,India

6. Saveetha School of Engineering, SIMATS,Department of Research and Innovation,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330805/10331621/10331890.pdf?arnumber=10331890

Reference25 articles.

1. A Comprehensive Survey for Intelligent Spam Email Detection

2. Email Spam Detection Using Integrated Approach of Naïve Bayes and Particle Swarm Optimization

3. Text and image based spam email classification using KNN, Naïve Bayes and Reverse DBSCAN algorithm

4. An evaluation on the efficiency of hybrid feature selection in spam email classification

5. SDAI: An integral evaluation methodology for content-based spam filtering models

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