An Efficient Churn Prediction model using ML supervised and semi supervised Learning Techniques-Reference-Cited by-同舟云学术

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An Efficient Churn Prediction model using ML supervised and semi supervised Learning Techniques

Published:2024-04-05 Issue: Volume:13 Page:1-6
ISSN:
Container-title:2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
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Author:

Kavitha Ch¹,Tripathi Geeta²,Sridivya Rayavarapu³,Yamuna Vadada⁴,Supriya N.⁵,Lakshmanarao A.⁶

Affiliation:

1. Raghu Engineering College Dakamarri,Department of CSE,Visakhapatnam,A.P,India

2. Guru Nanak Institutions Technical Campus,Hyderabad,India

3. Aditya College of Engineering and Technology,Department of CSE,Surampalem,A.P,India

4. Lendi Institute of Engineering and Technology,Visakhapatnam,India

5. Malla Reddy University,School of Engineering,Hyderabad,India

6. Aditya Engineering Collee,Department of IT,Surampalem,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543249/10543223/10543994.pdf?arnumber=10543994

Reference10 articles.

1. Customer churning analysis using machine learning algorithms

2. Customer churn prediction using composite deep learning technique

3. A review of churn prediction models using different machine learning and deep learning approaches in cloud environment;Panimalar;Journal of Current Science and Technology,2023

4. Machine learning based customer churn prediction in home appliance rental business

5. Customer Churn Prediction Using Machine Learning

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