Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
R. Leite, T. Gschwandtner, S. Miksch, E. Gstrein, J. Kuntner:
"Network Analysis for Financial Fraud Detection";
Poster: Eurographics Conference on Visualization (EuroVis 2018),
Brno, Czech Republic;
04.06.2018
- 08.06.2018; in: "Proceedings of Eurographics Conference on Visualization (EuroVis 2018)",
Eurographics / VGTC,
(2018),
3 S.
Kurzfassung englisch:
Security and quality are main concerns for private and public financial institutions. Data mining techniques based on the profiles of customers of a financial institution are commonly used to avoid fraud and financial damage. However, these approaches often are limited to the analysis of individual customers which hinders the detection of fraudulent networks. We propose a Visual Analytics approach for supporting and fine-tuning customers' network analysis, thus, reducing false-negative alarms of frauds.
Schlagworte:
Categories and Subject Descriptors (according to ACM CCS): Human-Centered Computing, Visual Analytics, Information Visualization, Time Series Data, Business and Finance Visualization, Financial Fraud Detection, Financial Fraud Analysis
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.2312/eurp.20181120
Elektronische Version der Publikation:
https://publik.tuwien.ac.at/files/publik_270279.pdf
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.