Machine Learning Techniques for Predicting Customer Churn in A Credit Card Company
Author:
Affiliation:
1. Aston University,Department of Operations and Information Management,Birmingham,UK
2. Teesside University,School of Computing, Engineering and Digital Technologies,Middlesbrough,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10077107/10077082/10077145.pdf?arnumber=10077145
Reference13 articles.
1. An Insight into Rare Class Problem: Analysis and Potential Solutions
2. Improved churn prediction in telecommunication industry using data mining techniques
3. Churn prediction using comprehensible support vector machine: An analytical CRM application
4. Customer churn prediction in telecommunications
5. Model of Customer Churn Prediction on Support Vector Machine
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1. Enhancing Customer Retention through Feature Selection and XGBoost Classification for Churn Prediction;2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES);2024-05-03
2. Research on the Influence Model of Service Quality on Customer's Post-purchase Behavior Intention Based on Big Data Analysis;2023 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC);2023-09-22
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