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Development of fading channel patch based convolutional neural network models for customer churn prediction
16 references·1 citing·45 second hop
Development of fading channel patch based convolutional neural network models for customer churn prediction (2022)Development of fading channel patch based…B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)B2C E-Commerce Customer Churn…Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)Incorporating textual informa…The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education (2017)The Use of Cronbach’s Alpha W…Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry (2016)Customers churn prediction an…A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)A comparative analysis of dat…A comparison of machine learning techniques for customer churn prediction (2015)A comparison of machine learn…Managing B2B customer churn, retention and profitability (2014)Managing B2B customer churn, …The Role of Marketing in Social Media: How Online Consumer Reviews Evolve (2011)The Role of Marketing in Soci…Improved marketing decision making in a customer churn prediction context using generalized additive models (2009)Improved marketing decision m…Customer churn prediction by hybrid neural networks (2009)Customer churn prediction by …Modeling churn using customer lifetime value (2008)Modeling churn using customer…Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…Customer churn prediction using improved balanced random forests (2008)Customer churn prediction usi…Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Churn prediction in subscript…Bagging and Boosting Classification Trees to Predict Churn (2006)Bagging and Boosting Classifi…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…Intensified Customer Churn Prediction: Connectivity with Weighted Multi-Layer Perceptron and Enhanced Multipath Back Propagation (2024)Intensified Customer Churn Pr…A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing (1998)Switching barriers and repurchase intentions in services (2000)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Customer churn prediction in telecommunications (2011)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Forecasting with artificial neural networks: (1998)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Customer churn prediction in telecommunication industry using data certainty (2018)Market Segmentation: Conceptual and Methodological Foundations (1997)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Gradient boosting trees for auto insurance loss cost modeling and prediction (2011)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)Customer churn prediction system: a machine learning approach (2021)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)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Customer churn prediction in telecom using machine learning in big data platform (2019)Turning telecommunications call details to churn prediction: a data mining approach (2002)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Customer churn prediction in the telecommunication sector using a rough set approach (2016)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)Zero defections: quality comes to services. 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(1993)OECD Education Working Papers (2010)Knowledge, attitude, and practice regarding COVID-19 outbreak in Bangladesh: An online-based cross-sectional study (2020)Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey (2020)The Effect of Word of Mouth on Sales: Online Book Reviews (2006)Social media and consumer engagement: a review and research agenda (2016)THE EFFECT OF SOCIAL MEDIA MARKETING ACTIVITIES ON BRAND AWARENESS, BRAND IMAGE AND BRAND LOYALTY (2018)Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation (2019)Diffusion of Innovations 1 (2019)The Quarterly Journal of Economics (2024)
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References

  • 2017The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education10,661 cited
  • 2011The Role of Marketing in Social Media: How Online Consumer Reviews Evolve606 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2015A comparison of machine learning techniques for customer churn prediction470 cited
  • 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 2008Customer churn prediction using improved balanced random forests412 cited
  • 2006Bagging and Boosting Classification Trees to Predict Churn410 cited
  • 2009Customer churn prediction by hybrid neural networks321 cited
  • 2016A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry214 cited
  • 2008Modeling churn using customer lifetime value187 cited
  • 2016Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry161 cited
  • 2019Incorporating textual information in customer churn prediction models based on a convolutional neural network149 cited

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  • 2022B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM149 cited
  • 2014Managing B2B customer churn, retention and profitability122 cited
  • 2009Improved marketing decision making in a customer churn prediction context using generalized additive models117 cited
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    • 2024Intensified Customer Churn Prediction: Connectivity with Weighted Multi-Layer Perceptron and Enhanced Multipath Back Propagation12 cited