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Negative Correlation Learning for Customer Churn Prediction: A Comparison Study

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References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
2008Application of data mining techniques in customer relationship management: A literature review and classification1,267 cited
2008Handling class imbalance in customer churn prediction552 cited
2005Applying data mining to telecom churn management514 cited
2011Customer churn prediction in telecommunications344 cited
2005Computer assisted customer churn management: State-of-the-art and future trends340 cited
2009Customer churn prediction by hybrid neural networks321 cited
2008Model of Customer Churn Prediction on Support Vector Machine161 cited
2013A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services149 cited
2013Telecommunication subscribers' churn prediction model using machine learning140 cited
2012Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies138 cited
2011Churn analysis for an Iranian mobile operator95 cited
2011A Neural Network based Approach for Predicting Customer Churn in Cellular Network Services79 cited
2012Genetic Programming and Adaboosting based churn prediction for Telecom59 cited

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2014Profit optimizing customer churn prediction with Bayesian network classifiers43 cited

2010Modeling Data Mining Applications for Prediction of Prepaid Churn in Telecommunication Services39 cited

Cited by

2020Sequential Feature Selection in Customer Churn Prediction Based on Naive Bayes27 cited
2020Predicting Customer Retention using XGBoost and Balancing Methods24 cited
2017Customer churn analysis for a software-as-a-service company22 cited
2017A Survey of Evolution in Predictive Models and Impacting Factors in Customer Churn21 cited
2022Customer Churn Prediction in Telecommunication Industry Using Classification and Regression Trees and Artificial Neural Network Algorithms19 cited
2015Echo State Network with SVM-readout for customer churn prediction16 cited
2017Machine learning techniques applied to prepaid subscribers: Case study on the telecom industry of Morocco11 cited
2022A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms10 cited