Accurate SMS Spam Detection Using Support Vector Machine In Comparison With Linear Regression-Reference-Cited by-同舟云学术

Accurate SMS Spam Detection Using Support Vector Machine In Comparison With Linear Regression

Published:2023-02-22 Issue: Volume: Page:
ISSN:
Container-title:2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)
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Author:

K Ram Bheemesh¹,N Deepa¹

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10179605/10179606/10179827.pdf?arnumber=10179827

Reference15 articles.

1. Study on the Effect of Preprocessing Methods for Spam Email Detection

2. SMS Spam Filtering Using Supervised Machine Learning Algorithms;pavas;2018 8th International Conference on Cloud Computing Data Science & Engineering (Confluence) Confluence,2018

3. Support Vector Machine Based Spam SMS Detection;adem;Politeknik Dergisi,2019

4. An Effective Model for SMS Spam Detection Using Content-Based Features and Averaged Neural Network;sheikhi;International journal of engineering,2020

5. SMS Spam Identification and Risk Assessment Evaluations;alaa;Proceedings of the 16th International Conference on Web Information Systems and Technologies,2020

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