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On the Detection and Analysis of VAT Carousel Crime
Czeslaw Jedrzejek, Jaroslaw Bak, Maciej Falkowski, Jolanta Cybulka, Maciej Nowak
130 - 134
10.3233/978-1-60750-981-3-130
Frontiers in Artificial Intelligence and Applications
Volume 235: Legal Knowledge and Information Systems
Abstract

The paper presents a simple environment to analyze a sufficient amount of data concerning trading transactions in order to reveal the crime schemes. We assumed that the output of the analysis should be presented in a user-friendly graphical form – the Palantir Technologies tool was used as the system's back-end. The front-end is constituted by the knowledge base expert rules used to reveal a carousel fraud scheme and roles of companies implicated in this crime. We utilize the Jess rule engine to do reasoning.

$35.00 / €27.50 / £22.00
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