Analysis and prediction of bank user churn based on ensemble learning algorithm-Reference-Cited by-同舟云学术

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Analysis and prediction of bank user churn based on ensemble learning algorithm

Published:2021-01-22 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)
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Author:

Deng Yihui,Li Dingzhao,Yang Lvqing,Tang Jintao,Zhao Jiangsheng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9362508/9362511/09362520.pdf?arnumber=9362520

Cited by 13 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. To Design and Implement Application for Bank Customer Churning Rate Prediction and Analysis using Machine Learning Algorithm;2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon);2024-04-25

2. Enhancing Customer Retention Strategies: Predicting Churn Rate in Telecom Sectors Using Machine Learning Ensemble Techniques;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

3. Web Application for Banking Churn Prediction Using ANN;Springer Proceedings in Mathematics & Statistics;2024

4. Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art;Mathematics;2023-02-24

5. Bank Customer Churn Prediction Based on Correlation Analysis and Multiple Linear Regression;Applied Economics and Policy Studies;2023

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