Comparative Study of Customer Churn Prediction Based on Data Ensemble Approach-Reference-Cited by-同舟云学术

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Comparative Study of Customer Churn Prediction Based on Data Ensemble Approach

Published:2023-12-14 Issue: Volume: Page:
ISSN:
Container-title:2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS)
language:
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Author:

Kumar S.Dinesh¹,Soundarapandiyan K.²,Meera S.³

Affiliation:

1. Sri Sairam Engineering College,Department of Management Studies,Chennai,Tamil Nadu,India

2. B.S.Abdur Rahman Crescent Institute of Science & Technology,Dept. Of Commerce,Chennai,Tamil Nadu,India

3. Sri Sairam Engineering College,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10447018/10448515/10449139.pdf?arnumber=10449139

Reference14 articles.

1. A neuro-fuzzy classifier for customer churn prediction;Abbasimehr;International Journal of Computer Applications,2011

2. Customer churn prediction in telecom using machine learning in big data platform

3. Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques

4. An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction

5. Computer assisted customer churn management: State-of-the-art and future trends

Cited by 1 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

1. Analysis of Customer Churn for Telecom Company with SMOTE-ENN and Hyperparameter Tuning Randomized-SearchCV Technique in Advanced Machine Learning Technology;2024 International Conference on Advancements in Power, Communication and Intelligent Systems (APCI);2024-06-21

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