XAI-based Feature Selection for SMS Spam Classification in Dravidian Languages-Reference-Cited by-同舟云学术

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XAI-based Feature Selection for SMS Spam Classification in Dravidian Languages

Published:2024-03-15 Issue: Volume:26 Page:1-6
ISSN:
Container-title:2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT)
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Author:

Thirumalai K G¹,Prakash K Sakthi¹,Abirami A M¹,Ramanujam E²,Sumitra S³

Affiliation:

1. Thiagarajar College of Engineering,Department of Information Technology,Madurai,India

2. National Institute of Technology,Department of Computer Science and Engineering,Silchar,Assam,India

3. Indian Institute of Space Science and Technology,Department of Mathematics,Trivandrum,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579969/10579987/10580065.pdf?arnumber=10580065

Reference24 articles.

1. A comprehensive survey of phishing: mediums, intended targets, attack and defence techniques and a novel taxonomy

2. Anti-phishing: A comprehensive perspective

3. SMS Spam Classification Using Machine Learning Techniques

4. SMS Spam Detection using Machine Learning and Deep Learning Techniques

5. Spam Detection in Short Message Service (SMS) Using Naïve Bayes, SVM, LSTM, and CNN

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