An Efficient Customer Churn Prediction Technique Using Combined Machine Learning in Commercial Banks

Author:

Vu Van-Hieu

Publisher

Springer Science and Business Media LLC

Reference34 articles.

1. Kumar A, Chandrakala D (2016) A survey on customer churn prediction using machine learning techniques. International Journal of Computer Applications 154:13–16

2. Vafeiadis T, Diamantaras KI, Sarigiannidis G, Chatzisavvas KC (2015) A comparison of machine learning techniques for customer churn prediction. Simul Model Pract Theory 55:1–9

3. Huang BQ, Kechadi MT, Buckley B, Kiernan G, Keogh EJ, Rashid TA (2010) A new feature set with new window techniques for customer churn prediction in land-line telecommunications. Expert Syst Appl 37:3657–3665

4. Simonyan K, Zisserman A (2015) Very deep convolutional networks for large-scale image recognition. CoRR abs/1409.1556

5. Zhang X, Zhao JJ, LeCun Y (2015) Character-level convolutional networks for text classification. ArXiv abs/1509.01626

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