An Approach for Credit Card Churn Prediction Using Gradient Descent
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-3945-6_68
Reference8 articles.
1. Altinisik, F.: Predicting Customers Intending to Cancel Credit Card Subscriptions Using Machine Learning Algorithms: A Case Study. IEEE (2020)
2. Raja Mohamed, R.: Improved Credit Card Churn Prediction Based on Rough Clustering and Supervised Learning Techniques. Springer, Berlin (2017)
3. Keramati, A.: Developing a Prediction Model for Customer Churn from Electronic Banking. Springer, Berlin (2016)
4. Wongchinsri, P.: A Survey—Data Mining Frameworks in Credit Card Processing. IEEE (2016)
5. Ganesh Sundarkumar, G.: One-Class Support Vector Machine Based Under Sampling: Application to Churn Prediction and Insurance Fraud Detection. IEEE (2015)
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