Enhancing Spam Detection on SMS performance using several Machine Learning Classification Models
Author:
Affiliation:
1. Delhi Technological University,Department of Computer Science and Engineering,Delhi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9776594/9776641/09777157.pdf?arnumber=9777157
Reference16 articles.
1. Opinion spam detection framework using hybrid classification scheme
2. Predicting Customer Churn Using Artificial Neural Network
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Spam Detection in Short Message Service (SMS) Using Naïve Bayes, SVM, LSTM, and CNN;2023 10th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE);2023-08-31
2. Spam SMS Classification Using Machine Learning;2023 32nd International Conference on Computer Communications and Networks (ICCCN);2023-07
3. SMS and E-mail Spam Classification Using Natural Language Processing and Machine Learning;Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology;2023
4. Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam Prediction;IEEE Access;2022
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