The DOI matches its Crossref record; 47 of the 49 references it cites were found in a registry or an index.
Improved marketing decision making in a customer churn prediction context using generalized additive models
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“In the past, customer churn had occurred explicitly through contractual cancellations, however, in the modern services including Internet and retail services, frequent customer churns occur due to the low customers' investment costs [19] [20] [21] [96].”
From A Survey on Churn Analysis in Various Business Domains (2020) · cites this paper as [20]
Citations
Cites
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An introduction to variable and feature selection
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Zero defections: quality comes to services.
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Logistic Regression Using the SAS System : Theory and Application
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Sorted by citations
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Classification and Analysis of Management and Marketing Data
Facca, T. M. (2010) · doi:10.53846/goediss-3531
Baecke, P., & den Poel, D. V. (2013)
Personalised e-customer relationship management models and system
Lin, H. (2013) · UTS ePRESS (University of Technology Sydney)
Predicting Customer Churn Using the Cumulative Quantity Control Chart
Lin, W.-H., & Chen, S. (2017) · International Conference on Industrial Engineering, Management Science and Application · doi:10.1109/icimsa.2017.7985601
Setting up a Mechanism for Predicting Automobile Customer Defection at SAHAM Insurance (Cameroon)
Ngassam, R. G. N., Kamdjoug, J. R. K., & Wamba, S. F. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-77712-2_83
Customer churn prediction for an insurance company
Wester, W. (2015)
Intuitive Feature Engineering and Machine Learning Performance Improvement in the Banking Domain
Teja, S., Chandrashekhar, B., Reddy, E., Jha, H., Nageswara, K., Joseph, M., Matto, J., & Bururu, R. K. (2021) · Communications in computer and information science · doi:10.1007/978-981-16-0401-0_28
Staff, M. (2020) · Midwest Social Sciences Journal
Data Preparation and Churn Detection
(2014) · IGI Global eBooks · doi:10.4018/978-1-4666-6288-9.ch005
Abbasimehr, H., Tarokh, M. J., & Setak, M. (2013) · IGI Global eBooks · doi:10.4018/978-1-4666-3898-3.ch008
Sun, Y., Liu, H., & Gao, Y. N. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4121094
Mada, S. P. B., Thimmireddygari, N., Tata, R., Thondapu, S. T. S. R., & Saleti, S. (2022) · IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) · doi:10.1109/icraie56454.2022.10054321
Employee Churn Retention System Using Association Rule Mining Techniques
Palanikumar, S., Queen, M. P. F., Resmi, H. B., & Suniram, A. S. E. (2023) · International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE) · doi:10.1109/rmkmate59243.2023.10369747
Brand Churn A Significant Percentage of Customers Leaving for Competitors
Rana, A., & Yadav, R. K. (2024) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2024.61412
Optimal Prediction Model of Default Probability Based on Multiple Machine Learning Methods
Li, Z., Ren, X., & Tao, H. (2025) · Automatic Control and Computer Sciences · doi:10.3103/s0146411625700105
A new churn prediction framework incorporating spatio-temporal information for the retail industry
Zhu, B., Li, Y., Gu, T., Qian, C., & Broucke, S. V. (2026) · Omega · doi:10.1016/j.omega.2026.103610
Mensah, K., Asante, K., & Owusu, L. (2026) · Journal of Digital Business and Management Studies · doi:10.68159/j481686906
Metadata
- Authors
- Coussement, K., Benoit, D. F., & Van den Poel, D.
- Affiliations
- Ghent University (BE)
- Corresponding author
- Coussement, Kristof
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2010-03-15
- Volume
- 37
- Issue
- 3
- Pages
- 2132-2143
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2075364988
- Cited by
- 117
- References
- 49
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 11 · 2021: 13 · 2020: 9 · 2019: 7 · 2018: 8 · 2017: 7 · 2016: 3 · 2015: 8 · 2014: 5 · 2013: 11 · 2012: 9
- FWCI
- 20.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Systems with Applications (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- HAL (submittedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Keywords
- customer churn prediction, generalized additive models, marketing decision-making, customer relationship management, nonlinear relationship, model interpretability, risk identification, logistic regression comparison, business value
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