Prediction of Customer Churn Using Machine Learning-Reference-Cited by-同舟云学术

Prediction of Customer Churn Using Machine Learning

Published:2019-10-19 Issue: Volume: Page:203-212
ISSN:2522-8595
Container-title:EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
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Author:

Momin Saifil,Bohra Tanuj,Raut Purva

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-19562-5_20

Reference15 articles.

1. F. Castanedo, Using Deep Learning to Predict Customer Churn in a Mobile Telecommunication Network (2014)

2. J. Hadden, A. Tiwari, R. Roy, D. Ruta, Computer assisted customer churn management: state-of-the-art and future trends. Comput. Oper. Res. 34, 2902–2917 (2007). https://doi.org/10.1016/j.cor.2005.11.007

3. M. Hassouna et al., Customer churn in mobile markets a comparison of techniques. CoRR 8, 224–237 (2015). arXiv:abs/1607.07792

4. C. Kirui, L. Hong, W. Cheruiyot, H. Kirui, Predicting customer churn in mobile telephony industry using probabilistic classifiers in data mining. Int. J. Comput. Sci. Issues. 10, 165–172 (2013)

5. M.M. Najafabadi, F. Villanustre, T.M. Khoshgoftaar, et al., Deep learning applications and challenges in big data analytics. J. Big Data 2(1), 1 (2015). https://doi.org/10.1186/s40537-014-0007-7

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