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Applying Data Mining to Customer Churn Prediction in an Internet Service Provider

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References

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2004Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services159 cited

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2001

Measuring the impact of data mining on churn management

146 cited

2000Customer Retention via Data Mining105 cited

1999Subscriber churn in the Australian ISP market85 cited

Cited by

2017An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing63 cited
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2021Customer churn analysis in banking sector: Evidence from explainable machine learning models44 cited
2022Hospitality order cancellation prediction from a profit-driven perspective42 cited
2013Customer Churn Prediction in Telecommunication A Decade Review and Classification40 cited
2021Deep Learning as a Vector Embedding Model for Customer Churn37 cited
2015Review of Data Mining Techniques for Churn Prediction in Telecom34 cited
2013A Survey on Churn Prediction Techniques in Communication Sector33 cited
2017Integration of Machine Learning Techniques to Evaluate Dynamic Customer Segmentation Analysis for Mobile Customers33 cited
2016A comparative study of social network classifiers for predicting churn in the telecommunication industry28 cited
2012Discriminant Analysis of Factors Affecting Telecoms Customer Churn23 cited
2016Customer loyalty prediction in multimedia Service Provider Company with K-Means segmentation and C4.5 algorithm23 cited
2017Customer churn prediction in an internet service provider21 cited
2021Improving Customer Churn Classification with Ensemble Stacking Method19 cited
2015Use of Data Mining for Prediction of Customer Loyalty18 cited