Machine Learning Based Approaches to Predict Customer Churn for an Insurance Company-Reference-Cited by-同舟云学术

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Machine Learning Based Approaches to Predict Customer Churn for an Insurance Company

Published:2020-04 Issue: Volume: Page:
ISSN:
Container-title:2020 Systems and Information Engineering Design Symposium (SIEDS)
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Author:

He Yunxuan,Xiong Ying,Tsai Yiting

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9103448/9106579/09106691.pdf?arnumber=9106691

Cited by 7 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. Analyzing Customer Churn: A Comparative Study of Machine Learning Models on Pay-TV Subscribers in Turkey;2023 4th International Informatics and Software Engineering Conference (IISEC);2023-12-21

2. Customer Lifetime Value Prediction of an Insurance Company using Regression Models;2023 International Conference for Advancement in Technology (ICONAT);2023-01-24

3. Predicting Insurance Churn to Reduce Clawback;2022 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD);2022-11-23

4. Feature Selection in Customer Churn Analysis: Case Study in B2B Business;2022 IEEE International Conference on e-Business Engineering (ICEBE);2022-10

5. An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers;Data;2022-05-09

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