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Research on Customer Churn Prediction Method based on Variable Precision Rough set and BP Neural Network
4 references·0 citing·18 second hopsampled
Research on Customer Churn Prediction Method based on Variable Precision Rough set and BP Neural Network (2018)Research on Customer Churn Prediction Met…Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in …A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A new hybrid classification a…Profit maximizing logistic model for customer churn prediction using genetic algorithms (2017)Profit maximizing logistic mo…Customer churn prediction in the telecommunication sector using a rough set approach (2016)Customer churn prediction in …Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Investigating drivers of bank loyalty: the complex relationship between image, service quality and satisfaction (1998)Handling class imbalance in customer churn prediction (2008)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)A Systematic Review of the Causes and Consequences of Price Hikes in Bangladesh (2023)Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Customer switching behavior analysis in the telecommunication industry via push-pull-mooring framework: A machine learning approach (2020)Study on convolutional neural network and its application in data mining and sales forecasting for E-commerce (2020)Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development (2003)The Effects of Customer Satisfaction, Relationship Commitment Dimensions, and Triggers on Customer Retention (2005)COVID‐19 Pandemic in the New Era of Big Data Analytics: Methodological Innovations and Future Research Directions (2020)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)LightGBM: an Effective Decision Tree Gradient Boosting Method to Predict Customer Loyalty in the Finance Industry (2019)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)
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References

  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees569 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2016Customer churn prediction in the telecommunication sector using a rough set approach222 cited
  • 2017Profit maximizing logistic model for customer churn prediction using genetic algorithms106 cited

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