Churn Prediction and Retention in Banking, Telecom and IT Sectors Using Machine Learning Techniques-Reference-Cited by-同舟云学术

Churn Prediction and Retention in Banking, Telecom and IT Sectors Using Machine Learning Techniques

Published:2020-07-26 Issue: Volume: Page:137-156
ISSN:2524-7565
Container-title:Algorithms for Intelligent Systems
language:
Short-container-title:

Author:

Jain Himani^ORCID,Yadav Garima^ORCID,Manoov R.^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5243-4_12

Reference16 articles.

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3. H. Faris, A hybrid swarm intelligent neural network model for customer churn prediction and identifying the influencing factors. Information 9(11), 288 (2018)

4. A. Cotter, H. Jiang, S. Wang, T. Narayan, M. Gupta, S. You, K. Sridharan, Optimization with non-differentiable constraints with applications to fairness, recall, churn, and other goals (2018). arXiv:1809.04198

5. P. Spanoudes, T. Nguyen, Deep learning in customer churn prediction: unsupervised feature learning on abstract company independent feature vectors (2017). arXiv:1703.03869

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