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 citing paper
“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
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,882
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Lu, Z. Q. J. (2010) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2010.00646_6.x · Cited by 12,916
Hastie, T., & Tibshirani, R. (1986) · Statistical Science · doi:10.1214/ss/1177013604 · Cited by 12,575
An introduction to variable and feature selection
GuyonIsabelle, & ElisseeffAndré (2003) · Journal of Machine Learning Research · doi:10.5555/944919.944968 · Cited by 8,354
Koyak, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2290538 · Cited by 7,717
Zero defections: quality comes to services.
Reichheld, F. F., & Sasser, W. E. (1990) · PubMed · Cited by 5,373
Friedman, J. H., & Stuetzle, W. (1981) · Journal of the American Statistical Association · doi:10.1080/01621459.1981.10477729 · Cited by 2,116
Logistic Regression Using the SAS System : Theory and Application
Allison, P. D. (1999) · Cited by 2,087
Cited by
Sorted by citations
Machine-Learning Techniques for Customer Retention: A Comparative Study
Sahar, F. N. (2018) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2018.090238 · Cited by 173
Coussement, K., & Bock, K. W. D. (2013) · Journal of Business Research · doi:10.1016/j.jbusres.2012.12.008 · Cited by 158
Self-citationAn empirical evaluation of rotation-based ensemble classifiers for customer churn prediction
Bock, K. W. D., & den Poel, D. V. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.04.007 · Cited by 133
Coussement, K., Phan, M., De Caigny, A., Benoit, D. F., & Raes, A. (2020) · Decision Support Systems · doi:10.1016/j.dss.2020.113325 · Cited by 125
Self-citationA Survey on Churn Analysis in Various Business Domains
Ahn, J., Hwang, J., Kim, D., Choi, H., & Kang, S. (2020) · IEEE Access · doi:10.1109/access.2020.3042657 · Cited by 108
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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