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Credit card churn forecasting by logistic regression and decision tree · Study

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ArticleCredit card churn forecasting by logistic regression and decision tree

Guangli Nie2011

OA

Articlegreen2011

Credit card churn forecasting by logistic regression and decision tree

Guangli Nie · Wei Rowe · Lingling Zhang · Yingjie Tian · Yong Shi

225 citations·0/0 files stored·Expert Systems with Applications

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Customer churn and segmentation Data Mining and Machine Learning Applications Financial Distress and Bankruptcy Prediction

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 225 citations exist upstream.

References

1990Zero defections: quality comes to services.2005The Effects of Customer Satisfaction, Relationship Commitment Dimensions, and Triggers on Customer Retention 2004Valuing Customers 2000Intelligence Generation and Superior Customer Value 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models 2005Applying data mining to telecom churn management 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques 2003Customer attrition analysis for financial services using proportional hazard models

Cited by

2017A novel heterogeneous ensemble credit scoring model based on bstacking approach 2018Machine-Learning Techniques for Customer Retention: A Comparative Study 2019Incorporating textual information in customer churn prediction models based on a convolutional neural network 2022B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM 2022Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach 2018A big data analytics model for customer churn prediction in the retiree segment 2016Developing a prediction model for customer churn from electronic banking services using data mining 2020A Survey on Churn Analysis in Various Business Domains

Details

Year2011

Typearticle

Published2011-07-07

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations225

Files0 public / 0

ShelfCustomer churn and segmentation

Identifiers

doi10.1016/j.eswa.2011.06.028

openalex_workW2160227689

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