VaBank: Visual Analytics for Banking Transactions
Catarina Maç�ãs, Evgheni Polisciuc, Penousal Machado · 2020 24th International Conference Information Visualisation (IV) · 2020
To analyse and detect fraudulent patterns in banking transactions, most fraud analysts use spreadsheets which makes the overall process time-consuming and complex. In this article, we propose a visualization tool that aims to ease the analysis of banking transactions over time and the detection of the transactions' topology and of suspicious behaviours. Our main contributions are: (i) a user-centred visual tool, developed with the aid of fraud experts; (ii) a method that characterises the transactions topology through a self-organising algorithm; (iii) the visual characterisation of transactions through complex glyphs; and (iv) a user study to assess the tool effectiveness.