Intelligent System for Detecting Email Spam Messages Using GRU-Reference-Cited by-同舟云学术

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Intelligent System for Detecting Email Spam Messages Using GRU

Published:2022-11-25 Issue: Volume: Page:71-77
ISSN:2367-3370
Container-title:Advances in Data and Information Sciences
language:
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Author:

Swain Debabrata,Chillur Naresh,Kava Meet,Satapathy Santosh

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-5292-0_7

Reference16 articles.

1. Douzi S, AlShahwan FA, Lemoudden M, El Ouahidi B (2020) Hybrid email spam detection model using artificial intelligence. Int J Mach Learn Comput 10(2):316–322. https://doi.org/10.18178/ijmlc.2020.10.2.937

2. Amir Sjarif NN, Mohd Azmi NF, Chuprat S, Sarkan HM, Yahya Y, Sam SM (2019) SMS spam message detection using term frequency-inverse document frequency and random forest algorithm. Procedia Comput Sci 161:509–515. https://doi.org/10.1016/j.procs.2019.11.150

3. Gupta M, Bakliwal A, Agarwal S, Mehndiratta P (2018) A comparative study of spam SMS detection using machine learning classifiers. In: 2018 11th international conference on contemporary computing (IC3), 2018, pp 2–4. https://doi.org/10.1109/IC3.2018.8530469

4. Baccouche A, Ahmed S, Sierra-Sosa D, Elmaghraby A (2020) Malicious text identification: deep learning from public comments and emails. Information 11(6). https://doi.org/10.3390/info11060312

5. Basyar I, Adiwijaya, Murdiansyah DT (2020) Email spam classification using gated recurrent unit and long short-term memory. J Comput Sci 16(4):559–567. https://doi.org/10.3844/JCSSP.2020.559.567

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1. A Data-Driven and Physics-Guided Modeling Approach for Bottom-Level Equipment in Integrated Energy System;2024 IEEE 7th International Electrical and Energy Conference (CIEEC);2024-05-10

2. A Robust Model for Effective Spam Detection Based on ALBERT;2023 6th International Conference on Electrical Information and Communication Technology (EICT);2023-12-07

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