EVA: Visual Analytics to Identify Fraudulent Events

@article{Leite2018EVAVA,
  title={EVA: Visual Analytics to Identify Fraudulent Events},
  author={Roger A. Leite and Theresia Gschwandtner and Silvia Miksch and Simone Kriglstein and Margit Pohl and Erich Gstrein and Johannes Kuntner},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2018},
  volume={24},
  pages={330-339}
}
Financial institutions are interested in ensuring security and quality for their customers. Banks, for instance, need to identify and stop harmful transactions in a timely manner. In order to detect fraudulent operations, data mining techniques and customer profile analysis are commonly used. However, these approaches are not supported by Visual Analytics techniques yet. Visual Analytics techniques have potential to considerably enhance the knowledge discovery process and increase the detection… CONTINUE READING