Customs fraud detection
Author:
Funder
Universiteit Antwerpen
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1007/s10044-019-00852-w.pdf
Reference59 articles.
1. Agyemang M, Barker K, Alhajj R (2006) A comprehensive survey of numeric and symbolic outlier mining techniques. Intell Data Anal 10(6):521–538
2. Akbani R, Kwek S, Japkowicz N (2004) Applying support vector machines to imbalanced datasets. In: Machine learning: ECML 2004: 15th European conference on machine learning, Pisa, Italy, September 20–24, 2004. Proceedings. Springer, Berlin, pp 39–50. https://doi.org/10.1007/978-3-540-30115-8_7
3. Baesens B, Gestel TV, Viaene S, Stepanova M, Suykens J, Vanthienen J (2003) Benchmarking state-of-the-art classification algorithms for credit scoring. J Oper Res Soc 54(6):627–635. https://doi.org/10.1057/palgrave.jors.2601545
4. Campos GO, Zimek A, Sander J, Campello RJGB, Micenková B, Schubert E, Assent I, Houle ME (2016) On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study. Data Min Knowl Discov 30(4):891–927. https://doi.org/10.1007/s10618-015-0444-8
5. Chandola V, Banerjee A, Kumar V (2009) Anomaly detection: a survey. ACM Comput Surv 41(3):15:1–15:58. https://doi.org/10.1145/1541880.1541882
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