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Customer Churn Prediction Using Ordinary Artificial Neural Network and Convolutional Neural Network Algorithms: A Comparative Performance Assessment
16 references·3 citing·52 second hop
Customer Churn Prediction Using Ordinary Artificial Neural Network and Convolutional Neural Network Algorithms: A Comparative Performance Assessment (2022)Customer Churn Prediction Using Ordinary …Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector (2021)Experimental Analysis of Hype…Distributed model for customer churn prediction using convolutional neural network (2021)Distributed model for custome…Customer churn prediction system: a machine learning approach (2021)Customer churn prediction sys…Dynamic behavior based churn prediction in mobile telecom (2020)Dynamic behavior based churn …A deep hybrid learning model for customer repurchase behavior (2020)A deep hybrid learning model …Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry (2019)Transfer Learning and Meta Cl…Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)Incorporating textual informa…Direct marketing campaigns in retail banking with the use of deep learning and random forests (2019)Direct marketing campaigns in…Predicting process behaviour using deep learning (2017)Predicting process behaviour …Comparison of Deep Learning Algorithms to Predict Customer Churn within a Local Retail Industry (2017)Comparison of Deep Learning A…Churn prediction of mobile and online casual games using play log data (2017)Churn prediction of mobile an…A Novel Approach for Churn Prediction Using Deep Learning (2017)A Novel Approach for Churn Pr…Do Retailers Benefit from Deploying Customer Analytics? (2014)Do Retailers Benefit from Dep…Modeling partial customer churn: On the value of first product-category purchase sequences (2012)Modeling partial customer chu…The value of different customer satisfaction and loyalty metrics in predicting customer retention, recommendation, and share‐of‐wallet (2007)The value of different custom…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…Identifying Customer Churn Patterns Using Machine Learning Predictive Analysis (2023)Identifying Customer Churn Pa…Ensemble classification using balanced data to predict customer churn: a case study on the telecom industry (2023)Ensemble classification using…A classification application for using learning methods in bank costumer's portfolio churn (2023)A classification application …Understanding Attitudes and Predicting Social Behavior (1980)A Conceptual Model of Service Quality and Its Implications for Future Research (1985)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)A Longitudinal Examination of Net Promoter and Firm Revenue Growth (2007)Measuring the impact of positive and negative word of mouth on brand purchase probability (2008)Making sense of higher education: students as consumers and the value of the university experience (2012)Estimating Nonresponse Bias in Mail Surveys (1977)Assessing Construct Validity in Organizational Research (1991)Common method biases in behavioral research: A critical review of the literature and recommended remedies. 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(2012)Big Data : The Management Revolution (2013)Beyond the hype: Big data concepts, methods, and analytics (2014)Customer Churn in Retail E-Commerce Business: Spatial and Machine Learning Approach (2022)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models (2024)Applying data mining to telecom churn management (2005)A comparison of machine learning techniques for customer churn prediction (2015)Customer churn prediction in telecom using machine learning in big data platform (2019)A Swish RNN based customer churn prediction for the telecom industry with a novel feature selection strategy (2022)Deep Churn Prediction Method for Telecommunication Industry (2023)Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning (2025)Handling class imbalance in customer churn prediction (2008)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)Customer churning analysis using machine learning algorithms (2023)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Impact of Hyperparameters on Deep Learning Model for Customer Churn Prediction in Telecommunication Sector (2022)Customer churn prediction in imbalanced datasets with resampling methods: A comparative study (2024)
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References

  • 2017Predicting process behaviour using deep learning430 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 2007The value of different customer satisfaction and loyalty metrics in predicting customer retention, recommendation, and share‐of‐wallet407 cited
  • 2021Customer churn prediction system: a machine learning approach328 cited
  • 2019Incorporating textual information in customer churn prediction models based on a convolutional neural network149 cited
  • 2020Dynamic behavior based churn prediction in mobile telecom114 cited
  • 2014Do Retailers Benefit from Deploying Customer Analytics?98 cited
  • 2019Direct marketing campaigns in retail banking with the use of deep learning and random forests96 cited
  • 2012Modeling partial customer churn: On the value of first product-category purchase sequences95 cited
  • 2021Experimental Analysis of Hyperparameters for Deep Learning-Based Churn Prediction in the Banking Sector77 cited
  • 2017Churn prediction of mobile and online casual games using play log data72 cited
  • 2017A Novel Approach for Churn Prediction Using Deep Learning59 cited
  • 2017Comparison of Deep Learning Algorithms to Predict Customer Churn within a Local Retail Industry51 cited
  • 2020A deep hybrid learning model for customer repurchase behavior

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46 cited
  • 2021Distributed model for customer churn prediction using convolutional neural network44 cited
  • 2019Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry39 cited
  • Cited by

    • 2023A classification application for using learning methods in bank costumer's portfolio churn13 cited
    • 2023Identifying Customer Churn Patterns Using Machine Learning Predictive Analysis12 cited
    • 2023Ensemble classification using balanced data to predict customer churn: a case study on the telecom industry11 cited