Author:
Liu Yajun,Fan Jingjing,Zhang Jianfang,Yin Xinxin,Song Zehua
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference19 articles.
1. Adhikary, D.D., & Gupta, D. (2021). Applying over 100 classifiers for churn prediction in telecom companies. Multimedia Tools and Applications, 80 (28), 35,123–35,144. https://doi.org/10.1007/s11042-020-09658-z.
2. Ahmad, A.K., Jafar, A., & Aljoumaa, K. (2019). Customer churn prediction in telecom using machine learning in big data platform. Journal of Big Data, 6(1), 1–24. https://doi.org/10.1186/s40537-019-0191-6.
3. Ahn, J., Hwang, J., Kim, D., & et al. (2020). A survey on churn analysis in various business domains. IEEE Access, 8, 220,816–220,839. https://doi.org/10.1109/ACCESS.2020.3042657.
4. Castanedo, F., Valverde, G., Zaratiegui, J., & et al. (2014). Using deep learning to predict customer churn in a mobile telecommunication network. Wise Athena LLC, pp. 1–8.
5. Dalvi, P.K., Khandge, S.K., Deomore, A., & et al. (2016). Analysis of customer churn prediction in telecom industry using decision trees and logistic regression. Figshare https://doi.org/10.1109/CDAN.2016.7570883.
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