Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China
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Using the Logistic regression, we build a model based on the data of more than 5000 credit card holders. The tests of model perform very well.
The main purpose of this paper is to provide a framework of understanding the knowledge of the card holders' hidden pattern instead of providing a new data ...
The research results show that banks can choose the most appropriate classification algorithm/s for customer churn prediction for noisy credit card holders' ...
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Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China. Nie, G; Wang, G; Zhang, P; Tian, Y; Shi, Y. 2009-01, Multiple Criteria Quadratic ...
A real-time and effective credit card holders' churn analysis is important and helpful for bankers to maintain credit card holders. In this research we apply 12 ...
In this paper, two data mining algorithms are applied to build a churn prediction model using credit card data collected from a real Chinese bank.
This study investigates the customer churn in the banking sector and explores the application of machine learning models to predict churn rates.
Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China · G. NieGuoxun WangPeng ZhangYing-jie TianYong Shi. Business, Economics. ICCS. 2009.
2009-01, Finding the Hidden Pattern of Credit Card Holder's Churn: A Case of China. Nie, G; Wang, G; Zhang, P; Tian, Y; Shi, Y ; 2012-01, A ...
Mar 6, 2022 · This paper examines churn prediction of customers in the banking sector using a unique customer-level dataset from a large Brazilian bank.