Towards Filtering of SMS Spam Messages Using Machine Learning Based Technique-Reference-Cited by-同舟云学术

Towards Filtering of SMS Spam Messages Using Machine Learning Based Technique

Author:

Choudhary Neelam,Jain Ankit Kumar

Publisher

Springer Singapore

Link

Reference28 articles.

1. Mobile Commons Blog. https://www.mobilecommons.com/blog/2016/01/how-text-messaging-will-change-for-the-better-in-2016/

2. SMS Blocker Award. https://play.google.com/store/apps/details?id=com.smsBlocker&hl=en

3. TextBlocker. https://play.google.com/store/apps/details?id=com.thesimpleandroidguy.app.messageclient&hl=en

4. Androidapp. https://play.google.com/store/apps/details?id=com.mrnumber.blocker&hl=en

5. Puniškis, D., Laurutis, R., Dirmeikis, R.: An artificial neural nets for spam e-mail recognition. Elektronika ir Elektrotechnika 69, 73–76 (2006)

Cited by 32 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

3. Detecting Email Spam with NLP: A Machine Learning Approach;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

4. Hierarchical Classification Model for SMS: An Evolving Model for HAM Categorization;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

5. Bilingual Spam SMS detection using Machine Learning;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13