SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Churn Prediction: A Comparative Study Using KNN and Decision Trees
10 references·5 citing·39 second hop
Churn Prediction: A Comparative Study Using KNN and Decision Trees (2019)Churn Prediction: A Comparative Study Usi…Telecommunication subscribers' churn prediction model using machine learning (2013)Telecommunication subscribers…Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies (2012)Churn prediction in telecom u…A new feature set with new window techniques for customer churn prediction in land-line telecommunications (2009)A new feature set with new wi…Customer churn prediction using improved balanced random forests (2008)Customer churn prediction usi…Customer Churn Prediction Based on the Decision Tree in Personal Handyphone System Service (2007)Customer Churn Prediction Bas…A hybrid KNN-LR classifier and its application in customer churn prediction (2007)A hybrid KNN-LR classifier an…Computer assisted customer churn management: State-of-the-art and future trends (2005)Computer assisted customer ch…Applying data mining to telecom churn management (2005)Applying data mining to telec…Building Data Mining Applications for CRM (1999)Building Data Mining Applicat…Zero defections: quality comes to services. (1990)Zero defections: quality come…Multi-Level Machine Learning Model to Improve the Effectiveness of Predicting Customers Churn Banks (2024)Multi-Level Machine Learning …Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning (2024)Customer churn modeling in te…An Efficient Customer Churn Prediction Technique Using Combined Machine Learning in Commercial Banks (2024)An Efficient Customer Churn P…Leveraging Machine Learning for Customer Intelligence: An Experimental Analysis Learning Classifiers (2023)Leveraging Machine Learning f…Prediction of Customer Churn in Telecom Industry: A Machine Learning Perspective (2021)Prediction of Customer Churn …Customer satisfaction, customer retention, and market share (1993)Understanding customer relationship management (CRM) (2003)The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services (2004)Customer churn prediction in telecommunications (2011)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)Customer churn prediction system: a machine learning approach (2021)Turning telecommunications call details to churn prediction: a data mining approach (2002)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)A Hybrid Churn Prediction Model in Mobile Telecommunication Industry (2013)Intelligent churn prediction for telecom using GP-AdaBoost learning and PSO undersampling (2017)Effective ML Techniques to Predict Customer Churn (2021)Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)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)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Early churn prediction with personalized targeting in mobile social games (2017)A Survey on Churn Analysis in Various Business Domains (2020)Carbon price forecasting based on modified ensemble empirical mode decomposition and long short-term memory optimized by improved whale optimization algorithm (2020)Determinants of subscriber churn and customer loyalty in the Korean mobile telephony market (2004)Particle classification optimization-based BP network for telecommunication customer churn prediction (2016)Application of interpretable machine learning models for the intelligent decision (2018)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)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)Neural networks and the multinomial logit for brand choice modelling: a hybrid approach (2000)Credit scoring using the hybrid neural discriminant technique (2002)Data Mining Applications in Customer Churn Management (2010)A fuzzy based churn prediction and retention model for prepaid customers in telecom industry (2017)Customer determinants of used auto loan churn: comparing predictive performance using machine learning techniques (2021)Application of data mining techniques in customer relationship management: A literature review and classification (2008)A National Customer Satisfaction Barometer: The Swedish Experience (1992)The Behavioral Consequences of Service Quality (1996)Whence Consumer Loyalty? (1999)Analysis of customer churn prediction in telecom industry using decision trees and logistic regression (2016)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Machine learning based customer churn prediction in home appliance rental business (2023)
this work references cited by second hop

References

  • 1990Zero defections: quality comes to services.5,373 cited
  • 1999Building Data Mining Applications for CRM599 cited
  • 2005Applying data mining to telecom churn management514 cited
  • 2008Customer churn prediction using improved balanced random forests412 cited
  • 2005Computer assisted customer churn management: State-of-the-art and future trends340 cited
  • 2013Telecommunication subscribers' churn prediction model using machine learning140 cited
  • 2012Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies138 cited
  • 2007Customer Churn Prediction Based on the Decision Tree in Personal Handyphone System Service72 cited
  • 2009A new feature set with new window techniques for customer churn prediction in land-line telecommunications64 cited
  • 2007A hybrid KNN-LR classifier and its application in customer churn prediction31 cited

Cited by

  • 2024Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning17 cited
  • 2021Prediction of Customer Churn in Telecom Industry: A Machine Learning Perspective13 cited
  • 2023Leveraging Machine Learning for Customer Intelligence: An Experimental Analysis Learning Classifiers13 cited
  • 2024Multi-Level Machine Learning Model to Improve the Effectiveness of Predicting Customers Churn Banks

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

12 cited
  • 2024An Efficient Customer Churn Prediction Technique Using Combined Machine Learning in Commercial Banks9 cited