Ensemble Approach to Classify Spam SMS from Bengali Text-Reference-Cited by-同舟云学术

Ensemble Approach to Classify Spam SMS from Bengali Text

Published:2023 Issue: Volume: Page:440-453
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Al Maruf Abdullah^ORCID,Al Numan Abdullah^ORCID,Haque Md. Mahmudul^ORCID,Jidney Tasmia Tahmida^ORCID,Aung Zeyar^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-37940-6_36

Reference23 articles.

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2. Al-Talib, G.A., Hassan, H.S.: A study on analysis of SMS classification using TF-IDF weighting. Int. J. Comput. Netw. Commun. Secur. 1(5), 189–194 (2013)

3. Alasadi, S.A., Bhaya, W.S.: Review of data preprocessing techniques in data mining. J. Eng. Appl. Sci. 12(16), 4102–4107 (2017)

4. Alshahrani, A.: Intelligent security schema for SMS spam message based on machine learning algorithms. IJIM 15(16), 53 (2021)

5. Androulidakis, I., Vlachos, V., Papanikolaou, A.: Fimess: filtering mobile external SMS spam. In: Proceedings of the 6th Balkan Conference in Informatics, pp. 221–227 (2013)

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