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A novel methodological approach to SaaS churn prediction using whale optimization algorithm
16 references·0 citing·34 second hop
A novel methodological approach to SaaS churn prediction using whale optimization algorithm (2025)A novel methodological approach to SaaS c…B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)B2C E-Commerce Customer Churn…Customer churn prediction system: a machine learning approach (2021)Customer churn prediction sys…Customer churn prediction in telecom using machine learning in big data platform (2019)Customer churn prediction in …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…A comparison of machine learning techniques for customer churn prediction (2015)A comparison of machine learn…Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Churn prediction using compre…New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)New insights into churn predi…Customer churn prediction in telecommunications (2011)Customer churn prediction in …Credit card churn forecasting by logistic regression and decision tree (2011)Credit card churn forecasting…Customer churn prediction by hybrid neural networks (2009)Customer churn prediction by …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…Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry (2006)Customer churn analysis: Chur…Valuing Customers (2004)Valuing CustomersCustomer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Modeling Customer Lifetime Value (2006)Customer churn prediction in the telecommunication sector using a rough set approach (2016)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Evaluating multiple classifiers for stock price direction prediction (2015)Turning telecommunications call details to churn prediction: a data mining approach (2002)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)Applying data mining to telecom churn management (2005)Zero defections: quality comes to services. (1990)The Commitment-Trust Theory of Relationship Marketing (1994)The Behavioral Consequences of Service Quality (1996)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Credit Scoring and Its Applications (2002)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)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)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Customer churning analysis using machine learning algorithms (2023)Principles of Corporate Finance. (1981)Market-Based Assets and Shareholder Value: A Framework for Analysis (1998)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)Customer Engagement as a New Perspective in Customer Management (2010)Customer Engagement Behavior: Theoretical Foundations and Research Directions (2010)Innovation diffusion and new product growth models: A critical review and research directions (2010)Customer Churn Prediction in Telecom Sector Using Machine Learning Techniques (2022)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)
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References

  • 2004Valuing Customers848 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2018A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees529 cited
  • 2019Customer churn prediction in telecom using machine learning in big data platform486 cited
  • 2015A comparison of machine learning techniques for customer churn prediction470 cited
  • 2011New insights into churn prediction in the telecommunication sector: A profit driven data mining approach460 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
  • 2011Customer churn prediction in telecommunications344 cited
  • 2021Customer churn prediction system: a machine learning approach328 cited
  • 2006Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry325 cited
  • 2009Customer churn prediction by hybrid neural networks321 cited
  • 2018Customer churn prediction in telecommunication industry using data certainty251 cited
  • 2011Credit card churn forecasting by logistic regression and decision tree225 cited

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  • 2014Churn prediction using comprehensible support vector machine: An analytical CRM application175 cited
  • 2022B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM149 cited
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