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Learned lessons in credit card fraud detection from a practitioner perspective
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Citations
Cites
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Transaction aggregation as a strategy for credit card fraud detection
Whitrow, C., Hand, D. J., Juszczak, P., Weston, D., & Adams, N. M. (2009) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-008-0116-z · Cited by 337
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Fraud detection system: A survey
Abdallah, A., Maarof, M. A., & Zainal, A. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.04.007 · Cited by 708
Calibrating Probability with Undersampling for Unbalanced Classification
Pozzolo, A. D., Caelen, O., Johnson, R. A., & Bontempi, G. (2015) · 2015 IEEE Symposium Series on Computational Intelligence · doi:10.1109/ssci.2015.33 · Cited by 667
Self-citationCombining unsupervised and supervised learning in credit card fraud detection
Carcillo, F., Le Borgne, Y.-A., Caelen, O., Kessaci, Y., Oblé, F., & Bontempi, G. (2021) · Information Sciences · doi:10.1016/j.ins.2019.05.042 · Cited by 478
Self-citationFeature engineering strategies for credit card fraud detection
Correa Bahnsen, A., Aouada, D., Stojanovic, A., & Ottersten, B. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.12.030 · Cited by 451
Synthetic Data for Deep Learning
Nikolenko, S. I. (2021) · Springer Optimization and Its Applications · doi:10.1007/978-3-030-75178-4 · Cited by 423
Metadata
- Authors
- Dal Pozzolo, A., Caelen, O., Le Borgne, Y.-A., Waterschoot, S., & Bontempi, G.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2014-08
- Volume
- 41
- Issue
- 10
- Pages
- 4915-4928
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2088402748
- Cited by
- 530
- References
- 5
- FWCI
- 16.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.