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On the operational efficiency of different feature types for telco Churn prediction · Study

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ArticleOn the operational efficiency of different feature types for telco Churn prediction

Sandra Mitrović2017

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Articlegreen2017

On the operational efficiency of different feature types for telco Churn prediction

Sandra Mitrović · Bart Baesens · Wilfried Lemahieu · Jochen De Weerdt

43 citations·0/0 files stored·European Journal of Operational Research

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Customer churn and segmentation Customer Service Quality and Loyalty Online Learning and Analytics

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References

20162016 IEEE International Conference on Big Data (Big Data)2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting 2011Customer churn prediction in telecommunications 2008Social ties and their relevance to churn in mobile telecom networks 2006Stepwise selection of variables in data envelopment analysis: Procedures and managerial perspectives 2012A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models 2010Predicting customer churn in mobile networks through analysis of social groups 2009Multi-objective feature selection by using NSGA-II for customer churn prediction in telecommunications

Cited by

2018Just-in-time Customer Churn Prediction: With and Without Data Transformation 2022Predicting customer churn: A systematic literature review 2023Hybrid model for profit-driven churn prediction based on cost minimization and return maximization 2022Research on telecom customer churn prediction based on ensemble learning 2021Fuzzy particle swarm optimization (FPSO) based feature selection and hybrid kernel distance based possibilistic fuzzy local information C-means (HKD-PFLICM) clustering for churn prediction in telecom industry

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2019tcc2vec: RFM-informed representation learning on call graphs for churn predictionarticle · 9 shared references 2021Research Trends in Customer Churn Prediction: A Data Mining Approachother · 7 shared references 2017Scalable RFM-enriched Representation Learning for Churn Predictionother · 7 shared references 2020A Survey on Churn Analysis in Various Business Domainsarticle · 6 shared references 2016Predicting time-to-churn of prepaid mobile telephone customers using social network analysisarticle · 6 shared references 2023Churn prediction methods based on mutual customer interdependencearticle · 6 shared references

Details

Year2017

Typearticle

Published2017-12-14

VenueEuropean Journal of Operational Research

ISSN-L0377-2217

Languageen

Citations43

Files0 public / 0

ShelfCustomer churn and segmentation

Identifiers

doi10.1016/j.ejor.2017.12.015

openalex_workW2772393142

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2021Application of Machine Learning in Customer Churn Prediction

2025A comprehensive survey on customer churn analysis studies

2024Deep Dive Into Churn Prediction in the Banking Sector: The Challenge of Hyperparameter Selection and Imbalanced Learning