Customer Churn Prediction Using Tunicate Swarm Optimization Based Hybrid Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Customer Churn Prediction Using Tunicate Swarm Optimization Based Hybrid Machine Learning Algorithms

Published:2024-03-15 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
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Author:

Haroon P S Abdul Lateef¹,Kala S Padma²,Bindu G³,Husseen Ahmad⁴,Naresh V⁵

Affiliation:

1. Ballari Institute of Technology and Management,Department of ECE,Ballari,Karnataka,India

2. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Dept of CSE,Chennai,Tamilnadu,India

3. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Guntur,Andhra Pradesh,India

4. The Islamic university,Najaf,Iraq

5. Malla Reddy Engineering college for Women,Dept of EEE,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10515402.pdf?arnumber=10515402

Reference13 articles.

1. Churn prediction in telecommunication industry using kernel Support Vector Machines

2. Deep Convolutional Neural Network Based Churn Prediction for Telecommunication Industry

3. Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction

4. An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry

5. Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT

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