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Hybrid Models Using Unsupervised Clustering for Prediction of Customer Churn
14 references·16 citing·37 second hop
Hybrid Models Using Unsupervised Clustering for Prediction of Customer Churn (2009)Hybrid Models Using Unsupervised Clusteri…Toward a hybrid data mining model for customer retention (2006)Toward a hybrid data mining m…CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services (2006)CRM at a pay-TV company: Usin…Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Churn prediction in subscript…An Empirical Analysis of the Value of Complete Information for eCRM Models1 (2006)An Empirical Analysis of the …Information Processing View of Organizations: An Exploratory Examination of Fit in the Context of Interorganizational Relationships (2005)Information Processing View o…Applying data mining to telecom churn management (2005)Applying data mining to telec…A hybrid sales forecasting system based on clustering and decision trees (2005)A hybrid sales forecasting sy…A novel evolutionary data mining algorithm with applications to churn prediction (2003)A novel evolutionary data min…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…Data mining techniques for customer relationship management (2002)Data mining techniques for cu…Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Predicting subscriber dissati…Building Data Mining Applications for CRM (1999)Building Data Mining Applicat…A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction (1998)A Dynamic Model of the Durati…Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Customer Switching Behavior i…Hybrid black-box classification for customer churn prediction with segmented interpretability analysis (2024)Hybrid black-box classificati…Predicting customer churn: A systematic literature review (2022)Predicting customer churn: A …Boost customer churn prediction in the insurance industry using meta-heuristic models (2022)Boost customer churn predicti…Social Network Analysis and Churn Prediction in Telecommunications Using Graph Theory (2020)Social Network Analysis and C…Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network (2018)Hybrid PPFCM-ANN model: an ef…Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector (2018)Computing efficient features …Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling (2017)Intelligent churn prediction …Improved credit card churn prediction based on rough clustering and supervised learning techniques (2017)Improved credit card churn pr…Improved Churn Prediction Based on Supervised and Unsupervised Hybrid Data Mining System (2017)Improved Churn Prediction Bas…An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing (2017)An efficient system for custo…Comparison of Decision Trees with Rényi and Tsallis Entropy Applied for Imbalanced Churn Dataset (2015)Comparison of Decision Trees …Neighborhood Cleaning Rules and Particle Swarm Optimization for Predicting Customer Churn Behavior in Telecom Industry (2014)Neighborhood Cleaning Rules a…Customer Churn Prediction in Telecommunication A Decade Review and Classification (2013)Customer Churn Prediction in …A comparative study of hybrid machine learning techniques for customer lifetime value prediction (2013)A comparative study of hybrid…Customer churn prediction for telecommunication: Employing various various features selection techniques and tree based ensemble classifiers (2012)Customer churn prediction for…Mining churning behaviors and developing retention strategies based on a partial least squares (PLS) model (2011)Mining churning behaviors and…The Nature of the Firm (1937)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Comparative fit indexes in structural models. 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(1990)Measuring Service Quality: A Reexamination and Extension (1992)Relational Benefits in Services Industries: The Customer's Perspective (1998)A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery (1999)Self-Service Technologies: Understanding Customer Satisfaction with Technology-Based Service Encounters (2000)The Discovery of Grounded Theory (2017)Knowledge management and data mining for marketing (2001)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A comparison of machine learning techniques for customer churn prediction (2015)Customer churn prediction in telecom using machine learning in big data platform (2019)Prospect Theory: An Analysis of Decision under Risk (1979)A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions (1980)Prospect theory: An analysis of decision under risk (1988)Investments in Consumer Relationships: A Cross-Country and Cross-Industry Exploration (2001)Satisfaction, Repurchase Intent, and Repurchase Behavior: Investigating the Moderating Effect of Customer Characteristics (2001)Customer Engagement Behavior: Theoretical Foundations and Research Directions (2010)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)A survey of results on mobile phone datasets analysis (2015)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Computer assisted customer churn management: State-of-the-art and future trends (2005)Customer relationship management research (1992‐2002) (2005)Harnessing marketing automation for B2B content marketing (2015)Social ties and their relevance to churn in mobile telecom networks (2008)
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References

  • 1995Customer Switching Behavior in Service Industries: An Exploratory Study2,903 cited
  • 1998A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction1,948 cited
  • 2005Information Processing View of Organizations: An Exploratory Examination of Fit in the Context of Interorganizational Relationships619 cited
  • 1999Building Data Mining Applications for CRM599 cited
  • 2005Applying data mining to telecom churn management514 cited
  • 2002Data mining techniques for customer relationship management508 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited
  • 2003A novel evolutionary data mining algorithm with applications to churn prediction348 cited
  • 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
  • 2006CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services241 cited
  • 2005A hybrid sales forecasting system based on clustering and decision trees185 cited
  • 2006Toward a hybrid data mining model for customer retention120 cited
  • 2006

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An Empirical Analysis of the Value of Complete Information for eCRM Models1
84 cited

Cited by

  • 2017An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing63 cited
  • 2017Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling63 cited
  • 2017Improved credit card churn prediction based on rough clustering and supervised learning techniques61 cited
  • 2011Mining churning behaviors and developing retention strategies based on a partial least squares (PLS) model58 cited
  • 2018Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector46 cited
  • 2020Social Network Analysis and Churn Prediction in Telecommunications Using Graph Theory43 cited
  • 2013Customer Churn Prediction in Telecommunication A Decade Review and Classification40 cited
  • 2022Predicting customer churn: A systematic literature review38 cited
  • 2012Customer churn prediction for telecommunication: Employing various various features selection techniques and tree based ensemble classifiers35 cited
  • 2018Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network35 cited
  • 2015Comparison of Decision Trees with Rényi and Tsallis Entropy Applied for Imbalanced Churn Dataset26 cited
  • 2013A comparative study of hybrid machine learning techniques for customer lifetime value prediction25 cited
  • 2022Boost customer churn prediction in the insurance industry using meta-heuristic models22 cited
  • 2024Hybrid black-box classification for customer churn prediction with segmented interpretability analysis21 cited
  • 2014Neighborhood Cleaning Rules and Particle Swarm Optimization for Predicting Customer Churn Behavior in Telecom Industry20 cited
  • 2017Improved Churn Prediction Based on Supervised and Unsupervised Hybrid Data Mining System19 cited