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Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions
16 references·2 citing·45 second hopsampled
Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions (2022)Model Optimization Analysis of Customer C…Integrated Churn Prediction and Customer Segmentation Framework for Telco Business (2021)Integrated Churn Prediction a…Customer churn prediction system: a machine learning approach (2021)Customer churn prediction sys…Profit Driven Decision Trees for Churn Prediction (2020)Profit Driven Decision Trees …Churn Prediction in Telecommunication using Logistic Regression and Logit Boost (2020)Churn Prediction in Telecommu…Linking lifestyle to customer lifetime value: An exploratory study in an online fashion retail market (2019)Linking lifestyle to customer…LightGBM: an Effective Decision Tree Gradient Boosting Method to Predict Customer Loyalty in the Finance Industry (2019)LightGBM: an Effective Decisi…Hybrid geometric sampling and AdaBoost based deep learning approach for data imbalance in E-commerce (2019)Hybrid geometric sampling and…Customer churn prediction in telecommunication industry using data certainty (2018)Customer churn prediction in …Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods (2018)Cross-company customer churn …A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A boosted decision tree appro…Customer churn prediction in the telecommunication sector using a rough set approach (2016)Customer churn prediction in …Analysis of customer churn prediction in telecom industry using decision trees and logistic regression (2016)Analysis of customer churn pr…Improved churn prediction in telecommunication industry using data mining techniques (2014)Improved churn prediction in …Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Churn prediction using compre…A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models (2012)A Novel Profit Maximizing Met…Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…Interpretable Machine Learning for Predicting Customer Churn in Retail Banking (2023)Interpretable Machine Learnin…Customer churn prediction model in cloud environment using DFE-WUNB: ANN deep feature extraction with Weight Updated Tuned Naïve Bayes classification with Block-Jacobi SVD dimensionality reduction (2023)Customer churn prediction mod…Experiments in induction (1966)Experiments in Induction (1967)Applying data mining to telecom churn management (2005)A Data Mining-Based Framework for Supply Chain Risk Management (2018)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Predicting Employee Attrition Using Machine Learning Techniques (2020)A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction (1998)Marketing Management: The Millennium Edition (1999)Financial time series forecasting using support vector machines (2003)Developing a prediction model for customer churn from electronic banking services using data mining (2016)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)Operational Research and Artificial Intelligence Methods in Banking (2022)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Modeling Customer Lifetime Value (2006)Evaluating multiple classifiers for stock price direction prediction (2015)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Introduction to Data Mining (2007)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)Development and application of consumer credit scoring models using profit-based classification measures (2014)Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)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)A Systematic Review of the Causes and Consequences of Price Hikes in Bangladesh (2023)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Forecasting gold price with the XGBoost algorithm and SHAP interaction values (2021)Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Another look at measures of forecast accuracy (2006)A novel cryptocurrency price trend forecasting model based on LightGBM (2018)Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)A literature review of the current applications of machine learning and their practical implications (2020)A boosting ensemble learning based hybrid light gradient boosting machine and extreme gradient boosting model for predicting house prices (2022)New model combination meta-learner to improve accuracy prediction P2P lending with stacking ensemble learning (2023)A novel evolutionary data mining algorithm with applications to churn prediction (2003)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)Deep Churn Prediction Method for Telecommunication Industry (2023)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churning analysis using machine learning algorithms (2023)
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References

  • 2017A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring770 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2021Customer churn prediction system: a machine learning approach328 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2016Customer churn prediction in the telecommunication sector using a rough set approach222 cited
  • 2019LightGBM: an Effective Decision Tree Gradient Boosting Method to Predict Customer Loyalty in the Finance Industry221 cited
  • 2012A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models177 cited
  • 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
  • 2014Churn prediction using comprehensible support vector machine: An analytical CRM application175 cited
  • 2020Churn Prediction in Telecommunication using Logistic Regression and Logit Boost160 cited
  • 2021Integrated Churn Prediction and Customer Segmentation Framework for Telco Business141 cited
  • 2020Profit Driven Decision Trees for Churn Prediction130 cited
  • 2018Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods102 cited
  • 2016Analysis of customer churn prediction in telecom industry using decision trees and logistic regression

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101 cited
  • 2019Linking lifestyle to customer lifetime value: An exploratory study in an online fashion retail market101 cited
  • 2019Hybrid geometric sampling and AdaBoost based deep learning approach for data imbalance in E-commerce82 cited
  • Cited by

    • 2023Interpretable Machine Learning for Predicting Customer Churn in Retail Banking28 cited
    • 2023Customer churn prediction model in cloud environment using DFE-WUNB: ANN deep feature extraction with Weight Updated Tuned Naïve Bayes classification with Block-Jacobi SVD dimensionality reduction20 cited