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Record link: 
http://hdl.handle.net/20.500.12708/56390
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Title: 
Visual Analytics for Fraud Detection and Monitoring
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Citation: 
Almeida Leite, R., Gschwandtner, T., Miksch, S., Gstrein, E., & Kuntner, J. (2015). Visual Analytics for Fraud Detection and Monitoring. In J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, & H. Carr (Eds.), Poster Proceedings of the IEEE Visualization Conference 2015 (p. 2). http://hdl.handle.net/20.500.12708/56390
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Publication Type: 
Inproceedings - Poster Contribution
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Authors: 
Almeida Leite, Roger 
Gschwandtner, Theresia 
Miksch, Silvia 
Gstrein, Erich 
Kuntner, Johannes 
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Organisational Unit: 
E193-07 - Forschungsbereich Visual Analytics 
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Published in: 
Poster Proceedings of the IEEE Visualization Conference 2015 
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Date (published): 
2015
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Event name: 
IEEE Vis 2015 
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Event date: 
25-Oct-2015 - 30-Oct-2015
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Event place: 
Chicago, IL, USA, Non-EU
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Number of Pages: 
2
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Peer reviewed: 
Yes
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Keywords: 
Time Series Data; Visual Knowledge Discovery; Business and Finance Visualization
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Abstract: 
One of the primary concerns of financial institutions is to guarantee security and legitimacy in their services. Being able to detect and avoid fraudulent schemes also enhances the credibility of these institutions. Currently, fraud detection approaches still lack Visual Analytics techniques. We propose a Visual Analytics process that tackles the main challenges in the area of fraud detection.
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Project title: 
CVAST: Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise) 
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Research Areas: 
Business Informatics: 40%
Visual Computing and Human-Centered Technology: 60%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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