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Determination of Algorithms Making Balance Between Accuracy and Comprehensibility in Churn Prediction Setting
16 references·0 citing·49 second hop
Determination of Algorithms Making Balance Between Accuracy and Comprehensibility in Churn Prediction Setting (2011)Determination of Algorithms Making Balanc…Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Building comprehensible custo…Probability Models for Customer-Base Analysis (2009)Probability Models for Custom…Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications (2009)Multi-objective feature selec…Customer churn prediction by hybrid neural networks (2009)Customer churn prediction by …Modeling churn using customer lifetime value (2008)Modeling churn using customer…Integrating the voice of customers through call center emails into a decision support system for churn prediction (2008)Integrating the voice of cust…Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers (2008)Improving customer attrition …Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services (2008)Genetic algorithm based neura…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 (2008)Churn Prediction in Subscript…Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Defection Detection: Measurin…Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Churn prediction in subscript…A Methodology for Linking Customer Acquisition to Customer Retention (2001)A Methodology for Linking Cus…Switching barriers and repurchase intentions in services (2000)Switching barriers and repurc…Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior (2000)Customer Satisfaction Cues To…A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing (1998)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)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)Customer churn prediction in telecommunication industry using data certainty (2018)Significance tests and goodness of fit in the analysis of covariance structures. (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)Customer satisfaction and retention: the experiences of individual employees (2004)The relationships among perceived quality, perceived risk and perceived product value (2004)Investigating structural relationships between service quality, perceived value, satisfaction, and behavioral intentions for air passengers: Evidence from Taiwan (2008)A Paradigm for Developing Better Measures of Marketing Constructs (1979)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Consumer Switching Costs: A Typology, Antecedents, and Consequences (2003)Customer Value, Satisfaction, Loyalty, and Switching Costs: An Illustration From a Business-to-Business Service Context (2004)Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R (2021)Limited-dependent and qualitative variables in econometrics (1983)A Probabilistic Choice Model for Market Segmentation and Elasticity Structure (1989)A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction (1998)The Theoretical Underpinnings of Customer Asset Management: A Framework and Propositions for Future Research (2004)Creating a Market Orientation: A Longitudinal, Multifirm, Grounded Analysis of Cultural Transformation (2006)Marketing Models of Service and Relationships (2006)Customer satisfaction, customer retention, and market share (1993)The Behavioral Consequences of Service Quality (1996)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Customer churn prediction in the telecommunication sector using a rough set approach (2016)History, Evolution and Future of Big Data and Analytics: A Bibliometric Analysis of Its Relationship to Performance in Organizations (2019)Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)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)Customer churn prediction in telecom using machine learning in big data platform (2019)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)The Loyalty Effect (2001)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Customer Lifetime Value: Empirical Generalizations and Some Conceptual Questions (2009)Does Chatter Matter? The Impact of User-Generated Content on Music Sales (2009)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)Managing Customer Relationships in the Social Media Era: Introducing the Social CRM House (2013)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)
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References

  • 2000Switching barriers and repurchase intentions in services1,570 cited
  • 2000Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior629 cited
  • 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models574 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited
  • 2008Customer churn prediction using improved balanced random forests412 cited
  • 2010Building comprehensible customer churn prediction models with advanced rule induction techniques366 cited
  • 2001A Methodology for Linking Customer Acquisition to Customer Retention323 cited
  • 2009Customer churn prediction by hybrid neural networks321 cited
  • 2009Probability Models for Customer-Base Analysis204 cited
  • 2008Modeling churn using customer lifetime value187 cited
  • 2008Integrating the voice of customers through call center emails into a decision support system for churn prediction163 cited
  • 2009Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications160 cited
  • 2008Improving customer attrition prediction by integrating emotions from client/company interaction emails and evaluating multiple classifiers

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141 cited
  • 2008Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques123 cited
  • 2008Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services117 cited
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