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Initializing Genetic Programming using Fuzzy Clustering and its Application in Churn Prediction in the Telecom Industry
12 references·2 citing·48 second hop
Initializing Genetic Programming using Fuzzy Clustering and its Application in Churn Prediction in the Telecom Industry (2015)Initializing Genetic Programming using Fu…A Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry (2014)A Genetic Programming Based F…Customer churn prediction using a hybrid genetic programming approach (2013)Customer churn prediction usi…Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences (2012)Predicting partial customer c…An extended support vector machine forecasting framework for customer churn in e-commerce (2010)An extended support vector ma…Hybrid Models Using Unsupervised Clustering for Prediction of Customer Churn (2009)Hybrid Models Using Unsupervi…Customer churn prediction by hybrid neural networks (2009)Customer churn prediction by …Churn models for prepaid customers in the cellular telecommunication industry using large data marts (2009)Churn models for prepaid cust…Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services (2008)Genetic algorithm based neura…Database Marketing: Analyzing and Managing Customers (2008)Database Marketing: Analyzing…Customer Churn Prediction Using Improved One-Class Support Vector Machine (2005)Customer Churn Prediction Usi…Applying data mining to telecom churn management (2005)Applying data mining to telec…Genetic programming and rough sets: A hybrid approach to bankruptcy classification (2002)Genetic programming and rough…Customer Behavior Analysis by Intuitionistic Fuzzy Segmentation: Comparison of Two Major Cities in Turkey (2021)Customer Behavior Analysis by…A Feature Extraction Method Based on Stacked Auto-Encoder for Telecom Churn Prediction (2016)A Feature Extraction Method B…Support vector machine for regression and applications to financial forecasting (2000)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)Domain knowledge integration in data mining using decision tables: case studies in churn prediction (2009)Propension to customer churn in a financial institution: a machine learning approach (2022)Customer Loyalty: Toward an Integrated Conceptual Framework (1994)The Behavioral Consequences of Service Quality (1996)Marketing management: analysis. planning. implementation and control (2000)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)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Introduction to Data Mining (2007)Evolutionary Neural Network model for West Texas Intermediate crude oil price prediction (2015)A Survey on Churn Analysis in Various Business Domains (2020)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction (1998)Information Processing View of Organizations: An Exploratory Examination of Fit in the Context of Interorganizational Relationships (2005)An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing (2017)Improved credit card churn prediction based on rough clustering and supervised learning techniques (2017)Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling (2017)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)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A survey of business failures with an emphasis on prediction methods and industrial applications (1996)Business failure prediction using rough sets (1999)Using Bayesian networks for bankruptcy prediction: Some methodological issues (2006)Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS) (2010)A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method (2011)Turning telecommunications call details to churn prediction: a data mining approach (2002)Modeling partial customer churn: On the value of first product-category purchase sequences (2012)Intelligent churn prediction in telecom: employing mRMR feature selection and RotBoost based ensemble classification (2013)Dynamic churn prediction framework with more effective use of rare event data: The case of private banking (2014)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market (2004)Predicting customer churn from valuable B2B customers in the logistics industry: a case study (2014)Enabling artificial intelligence on a donation-based crowdfunding platform: a theoretical approach (2021)E-commerce customer churn prevention using machine learning-based business intelligence strategy (2023)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)Building Data Mining Applications for CRM (1999)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)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)Loyalty Programmes: Current Knowledge and Research Directions* (2011)Does retailer CSR enhance behavioral loyalty? 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References

  • 2005Applying data mining to telecom churn management514 cited
  • 2009Customer churn prediction by hybrid neural networks321 cited
  • 2008Database Marketing: Analyzing and Managing Customers290 cited
  • 2002Genetic programming and rough sets: A hybrid approach to bankruptcy classification219 cited
  • 2008Genetic algorithm based neural network approaches for predicting churn in cellular wireless network services117 cited
  • 2009Churn models for prepaid customers in the cellular telecommunication industry using large data marts102 cited
  • 2005Customer Churn Prediction Using Improved One-Class Support Vector Machine102 cited
  • 2010An extended support vector machine forecasting framework for customer churn in e-commerce98 cited
  • 2009Hybrid Models Using Unsupervised Clustering for Prediction of Customer Churn76 cited
  • 2012Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences25 cited
  • 2014A Genetic Programming Based Framework for Churn Prediction in Telecommunication Industry21 cited
  • 2013Customer churn prediction using a hybrid genetic programming approach16 cited

Cited by

  • 2021Customer Behavior Analysis by Intuitionistic Fuzzy Segmentation: Comparison of Two Major Cities in Turkey8 cited
  • 2016A Feature Extraction Method Based on Stacked Auto-Encoder for Telecom Churn Prediction

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8 cited