Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty-Reference-Cited by-同舟云学术

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Behavioral Modeling for Churn Prediction: Early Indicators and Accurate Predictors of Custom Defection and Loyalty

Published:2015-06 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE International Congress on Big Data
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Author:

Khan Muhammad Raza,Manoj Joshua,Singh Anikate,Blumenstock Joshua

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7194705/7207183/07207291.pdf?arnumber=7207291

Cited by 14 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. Product Innovation and Customer Experience: Catalysts for Enhancing Satisfaction in Quick Service Restaurants;Tourism and Hospitality;2024-06-30

2. Application of Machine Learning in the Telecommunications Industry: Partial Churn Prediction by using a Hybrid Feature Selection Approach;Journal of Information Systems and Telecommunication (JIST);2023-12-16

3. Customer Risk Prediction: A Machine Learning Ensemble Approach;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16

4. Big data-driven framework for viral churn prevention: a case study;Management and Production Engineering Review;2023-07-26

5. Customer determinants of used auto loan churn: comparing predictive performance using machine learning techniques;Journal of Marketing Analytics;2021-11-02

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