Talks and Poster Presentations (with Proceedings-Entry):

R. Almeida Leite, T. Gschwandtner, S. Miksch, E. Gstrein, J. Kuntner:
"Visual Analytics for Fraud Detection and Monitoring";
Poster: IEEE Vis 2015, Chicago, IL, USA; 2015-10-25 - 2015-10-30; in: "Poster Proceedings of the IEEE Visualization Conference 2015", J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, H. Carr (ed.); (2015), 2 pages.

English 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.

Visual Knowledge Discovery, Time Series Data, Business and Finance Visualization

Electronic version of the publication:

Related Projects:
Project Head Silvia Miksch:
CVAST: Centre for Visual Analytics Science and Technology (Laura Bassi Centre of Expertise)

Created from the Publication Database of the Vienna University of Technology.