TaxNet/TefNet: Visual Analytics System to Support Tax Evasion Discovery
TaxNet is a decision support system for tax evasion discovery, based on a powerful visual language and on advanced network visualization techniques. It has been developed in cooperation with the Italian Revenue Agency, where it is currently used. TacNet allows users to visually define classes of suspicious patterns, it exploits effective graph pattern matching technologies to rapidly extract subgraphs that correspond to one or more patterns, it provides facilities to conveniently merge the results, and it implements new ad-hoc centrality indexes to rank taxpayers based on their fiscal risk. Moreover, it offers a visual interface to analyze and interact with those networks that match a desired pattern. TefNet is an evolution of TaxNet, specifically tailored to handle temporal networks. TaxNet and TefNet are the basis for the development of a general methodology called MALDIVE, which mixes visual analytics and machine learning techniques for data mining.
Publications
- Walter Didimo, Luca Giamminonni, Giuseppe Liotta, Fabrizio Montecchiani, Daniele Pagliuca: A visual analytics system to support tax evasion discovery. Decision Support Systems 110: 71-83 (2018)
- Walter Didimo, Luca Grilli, Giuseppe Liotta, Fabrizio Montecchiani, Daniele Pagliuca: Visual querying and analysis of temporal fiscal networks. Inf. Sci. 505: 406-421 (2019)
- Walter Didimo, Luca Grilli, Giuseppe Liotta, Lorenzo Menconi, Fabrizio Montecchiani, Daniele Pagliuca: Combining Network Visualization and Data Mining for Tax Risk Assessment. IEEE Access 8: 16073-16086 (2020)