Value-added tax fraud detection with scalable anomaly detection techniques

The tax fraud detection domain is characterized by very few labelled data (known fraud/legal cases) that are not representative for the population due to sample selection bias. We use unsupervised anomaly detection (AD) techniques, which are uncommon in tax fraud detection research, to deal with the...

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Vydané v:	Applied soft computing Ročník 86; s. 105895
Hlavní autori:	Vanhoeyveld, Jellis, Martens, David, Peeters, Bruno
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.01.2020
Predmet:	Scalable algorithms Tax fraud detection Unsupervised anomaly detection Tax fraud detection Scalable algorithms Unsupervised anomaly detection
ISSN:	1568-4946, 1872-9681
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