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Solving customer insurance coverage sales plan problem using a multi-stage data mining approach
11 references·0 citing·53 second hopsampled
Solving customer insurance coverage sales plan problem using a multi-stage data mining approach (2017)Solving customer insurance coverage sales…Quantitative credit risk assessment using support vector machines: Broad versus Narrow default definitions (2013)Quantitative credit risk asse…Genetic algorithm-based heuristic for feature selection in credit risk assessment (2013)Genetic algorithm-based heuri…Random Forests for Uplift Modeling: An Insurance Customer Retention Case (2012)Random Forests for Uplift Mod…Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment (2012)Hybrid system with genetic al…A hybrid ensemble approach for enterprise credit risk assessment based on Support Vector Machine (2011)A hybrid ensemble approach fo…Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Building comprehensible custo…Mining demand chain knowledge of life insurance market for new product development (2008)Mining demand chain knowledge…Classifying the segmentation of customer value via RFM model and RS theory (2008)Classifying the segmentation …Application of data mining techniques in customer relationship management: A literature review and classification (2008)Application of data mining te…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…A mathematical programming approach to optimise insurance premium pricing within a data mining framework (2002)A mathematical programming ap…Effects of Relationship Marketing on Satisfaction, Retention, and Prices in the Life Insurance Industry (1987)Customer lifetime value: Marketing models and applications (1998)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)The effectiveness of employee retention through an uplift modeling approach (2020)Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach (2021)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Democracy and growth: Evidence from a machine learning indicator (2016)Applications of Artificial Intelligence in commercial banks – A research agenda for behavioral finance (2020)Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance (2021)Book Review: The One to One Future: Building Relationships One Customer at a Time (1995)E-Business 2.0: Roadmap for Success (2000)Marketing management: analysis. planning. implementation and control (2000)Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty (2009)Estimating customer 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Quality (1996)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)A Churn Prediction Model Using Random Forest: Analysis of Machine Learning Techniques for Churn Prediction and Factor Identification in Telecom Sector (2019)Successful Industrial Products from Customer Ideas (1978)Knowledge management and data mining for marketing (2001)From supply to demand chain management: efficiency and customer satisfaction (2002)A Review of Supply Chain Data Mining Publications (2015)Creating and capturing value from Big Data: A multiple-case study analysis of provider companies (2018)Processes and measurement of knowledge management in supply chains: an integrative systematic literature review 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(2006)A survey towards an integration of big data analytics to big insights for value-creation (2018)Brave New World? On AI and the Management of Customer Relationships (2020)The evolving role of artificial intelligence in marketing: A review and research agenda (2021)
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References

  • 2008Application of data mining techniques in customer relationship management: A literature review and classification1,293 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2008Classifying the segmentation of customer value via RFM model and RS theory453 cited
  • 2013Genetic algorithm-based heuristic for feature selection in credit risk assessment430 cited
  • 2010Building comprehensible customer churn prediction models with advanced rule induction techniques391 cited
  • 2012Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment198 cited
  • 2011A hybrid ensemble approach for enterprise credit risk assessment based on Support Vector Machine160 cited
  • 2013Quantitative credit risk assessment using support vector machines: Broad versus Narrow default definitions83 cited
  • 2012Random Forests for Uplift Modeling: An Insurance Customer Retention Case61 cited
  • 2008Mining demand chain knowledge of life insurance market for new product development44 cited
  • 2002A mathematical programming approach to optimise insurance premium pricing within a data mining framework24 cited

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