Title
Visual Analytics for fraud detection and monitoring
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.
Year
DOI
Venue
2015
10.1109/VAST.2015.7347678
2015 IEEE Conference on Visual Analytics Science and Technology (VAST)
Keywords
DocType
Citations 
Visual Knowledge Discovery,Time Series Data,Business and Finance Visualization
Conference
0
PageRank 
References 
Authors
0.34
1
5
Name
Order
Citations
PageRank
Roger A. Leite1194.67
Theresia Gschwandtner217117.43
Silvia Miksch32212174.85
Erich Gstrein401.35
Johannes Kuntner521.38