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Analysing Customer Churn in Insurance Data – A Case Study
4 references·16 citing·49 second hop
Analysing Customer Churn in Insurance Data – A Case Study (2004)Analysing Customer Churn in Insurance Dat…Subexponential Distributions (2004)Subexponential DistributionsS.A. Klugman, H.H. Panjer and G.E. Willmot (1998): Loss Models: From Data to Decisions. Wiley, New York. (1998)S.A. Klugman, H.H. Panjer and…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecas…Transforming personal finance thanks to artificial intelligence: myth or reality? (2023)Transforming personal finance…Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management (2021)Swarm intelligence goal-orien…Improved Retention Analysis in Freemium Role-Playing games by Jointly Modelling Players’ Motivation, Progression and Churn (2021)Improved Retention Analysis i…An improved analytical approach for customer churn prediction using Grey Wolf Optimization approach based on stochastic customer profiling over a retail shopping analysis: CUPGO (2019)An improved analytical approa…The impact of geographical factors on churn prediction: an application to an insurance company in Madrid's urban area (2018)The impact of geographical fa…Just-in-time customer churn prediction in the telecommunication sector (2017)Just-in-time customer churn p…Deep and Shallow Model for Insurance Churn Prediction Service (2017)Deep and Shallow Model for In…Review of Data Mining Techniques for Churn Prediction in Telecom (2015)Review of Data Mining Techniq…Customer Churn Prediction Based on Feature Clustering and Nonparallel Support Vector Machine (2014)Customer Churn Prediction Bas…User Behavior Modelling Approach for Churn Prediction in Online Games (2012)User Behavior Modelling Appro…Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences (2012)Predicting partial customer c…Analytical Customer Relationship Management in Retailing Supported by Data Mining Techniques (2012)Analytical Customer Relations…A Graph-Based Churn Prediction Model for Mobile Telecom Networks (2012)A Graph-Based Churn Predictio…Churn in Social Networks (2010)Churn in Social NetworksK Nearest Sequence Method and Its Application to Churn Prediction (2006)K Nearest Sequence Method and…Churn Prediction in the Mobile Telecommunications Industry (2006)Churn Prediction in the Mobil…The Strength of Weak Ties (1973)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Birds of a Feather: Homophily in Social Networks (2001)Target-Dependent Churn Classification in Microblogs (2015)Short Text Representation for Detecting Churn in Microblogs (2016)Churn in the mobile gaming field: Establishing churn definitions and measuring classification similarities (2021)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)The Behavioral Consequences of Service Quality (1996)Marketing management: analysis. planning. implementation and control (2000)A Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry (2014)pRNN: A Recurrent Neural Network based Approach for Customer Churn Prediction in Telecommunication Sector (2018)Predicting customer churn for platform businesses: using latent variables of variational autoencoder as consumers’ purchasing behavior (2022)Data mining for direct marketing: problems and solutions (1998)Motivations for Play in Online Games (2006)Who plays, how much, and why? Debunking the stereotypical gamer profile (2008)Write for Life (2017)Comprehensive review and classification of game analytics (2020)Predicting Player Churn of a Free-to-Play Mobile Video Game Using Supervised Machine Learning (2022)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Churning of Bank Customers Using Supervised Learning (2020)Churn in services – A bibliometric review (2022)Loss Distributions (1984)Optimal Insurance With Divergent Beliefs About Insurer Total Default Risk (2003)On optimal dividends: From reflection to refraction (2005)Pricing catastrophe risk bonds: A mixed approximation method (2013)Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Handling class imbalance in customer churn prediction (2008)Interrater reliability: the kappa statistic (2012)Just-in-time Customer Churn Prediction: With and Without Data Transformation (2018)Case based models of the relationship between consumer resistance to innovation and customer churn (2021)Model Optimization Analysis of Customer Churn Prediction Using Machine Learning Algorithms with Focus on Feature Reductions (2022)Estimates for the probability of ruin with special emphasis on the possibility of large claims (1982)Modelling Extremal Events (1997)Appendix: A primer on heavy-tailed distributions (1999)Stochastic Processes for Insurance & Finance (1999)Rare Events Simulation for Heavy-Tailed Distributions (2000)Convolution equivalence and infinite divisibility (2004)Firm Resources and Sustained Competitive Advantage (1991)Dynamic capabilities and strategic management (1997)Firm resources and sustained competitive advantage (2004)Data-driven innovation development: an empirical analysis of the antecedents using PLS-SEM and fsQCA (2022)Hybrid model for profit-driven churn prediction based on cost minimization and return maximization (2023)A Big Data-Driven Hybrid Model for Enhancing Streaming Service Customer Retention Through Churn Prediction Integrated With Explainable AI (2024)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Generalized autoregressive conditional heteroskedasticity (1986)Exponential smoothing: The state of the art (1985)Using daily stock returns (1985)
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References

  • 1977Time Series Analysis: Forecasting and Control19,200 cited
  • 1977Time Series Analysis: Forecasting and Control6,446 cited
  • 2004Subexponential Distributions144 cited
  • 1998S.A. Klugman, H.H. Panjer and G.E. Willmot (1998): Loss Models: From Data to Decisions. Wiley, New York.124 cited

Cited by

  • 2017Just-in-time customer churn prediction in the telecommunication sector45 cited
  • 2021Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management40 cited
  • 2012User Behavior Modelling Approach for Churn Prediction in Online Games39 cited
  • 2010Churn in Social Networks35 cited
  • 2015Review of Data Mining Techniques for Churn Prediction in Telecom34 cited
  • 2012Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences25 cited
  • 2017Deep and Shallow Model for Insurance Churn Prediction Service21 cited
  • 2018The impact of geographical factors on churn prediction: an application to an insurance company in Madrid's urban area21 cited
  • 2023Transforming personal finance thanks to artificial intelligence: myth or reality?17 cited
  • 2021Improved Retention Analysis in Freemium Role-Playing games by Jointly Modelling Players’ Motivation, Progression and Churn

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15 cited
  • 2012A Graph-Based Churn Prediction Model for Mobile Telecom Networks15 cited
  • 2006K Nearest Sequence Method and Its Application to Churn Prediction14 cited
  • 2014Customer Churn Prediction Based on Feature Clustering and Nonparallel Support Vector Machine14 cited
  • 2012Analytical Customer Relationship Management in Retailing Supported by Data Mining Techniques11 cited
  • 2019An improved analytical approach for customer churn prediction using Grey Wolf Optimization approach based on stochastic customer profiling over a retail shopping analysis: CUPGO9 cited
  • 2006Churn Prediction in the Mobile Telecommunications Industry9 cited