The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Handling class imbalance in customer churn prediction
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Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
SMOTE synthetic minority over-sampling technique
Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. (2002) · Journal of Artificial Intelligence Research · doi:10.1613/jair.953 · Cited by 32,865
Greedy function approximation: A gradient boosting machine
Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731
DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics · doi:10.2307/2531595 · Cited by 22,649
A decision-theoretic generalization of on-line learning and an application to boosting
Freund, Y., & Schapire, R. E. (1997) · Journal of Computer and System Sciences · doi:10.1006/jcss.1997.1504 · Cited by 20,466
Friedman, J. H. (2002) · Computational Statistics & Data Analysis · doi:10.1016/s0167-9473(01)00065-2 · Cited by 7,067
The relationship between Precision-Recall and ROC curves
Davis, J., & Goadrich, M. (2006) · Proceedings of the 23rd international conference on Machine learning - ICML '06 · doi:10.1145/1143844.1143874 · Cited by 6,559
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
Dietterich, T. G. (1998) · Neural Computation · doi:10.1162/089976698300017197 · Cited by 3,840
Data Mining Techniques: For Marketing, Sales, and Customer Support
Berry, M. J., & Linoff, G. S. (1997) · University of Maribor digital library (University of Maribor) · Cited by 1,736
The Analysis of Contingency Tables
Odoroff, C. L. (1978) · Technometrics · doi:10.1080/00401706.1978.10489678 · Cited by 1,541
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Object-oriented mapping of landslides using Random Forests
Stumpf, A., & Kerle, N. (2011) · Remote Sensing of Environment · doi:10.1016/j.rse.2011.05.013 · Cited by 731
Evaluating multiple classifiers for stock price direction prediction
Ballings, M., Van den Poel, D., Hespeels, N., & Gryp, R. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.05.013 · Cited by 611
Artificial intelligence in business: State of the art and future research agenda
Loureiro, S. M. C., Guerreiro, J., & Tussyadiah, I. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.11.001 · Cited by 554
Verbeke, W., Dejaeger, K., Martens, D., Hur, J., & Baesens, B. (2012) · European Journal of Operational Research · doi:10.1016/j.ejor.2011.09.031 · Cited by 462
A review of methods for imbalanced multi-label classification
Tarekegn, A. N., Giacobini, M., & Michalak, K. (2021) · Pattern Recognition · doi:10.1016/j.patcog.2021.107965 · Cited by 426
Metadata
- Authors
- Burez, J., & Van den Poel, D.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 36
- Issue
- 3
- Pages
- 4626-4636
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2067594023
- Cited by
- 549
- References
- 34
- FWCI
- 42.38
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
