| dc.contributor.author | Poulymenopoulou, Mikaela | en_US |
| dc.contributor.author | Tsois, Aris | en_US |
| dc.contributor.editor | Anna Puig Puig and Tobias Isenberg | en_US |
| dc.date.accessioned | 2017-06-12T05:18:01Z | |
| dc.date.available | 2017-06-12T05:18:01Z | |
| dc.date.issued | 2017 | |
| dc.identifier.isbn | 978-3-03868-044-4 | |
| dc.identifier.uri | http://dx.doi.org/10.2312/eurp.20171177 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/eurp20171177 | |
| dc.description.abstract | Customs risk analysis is crucial for detecting fraud and contraband goods in the massive flows of internationally traded goods. Most of non-bulk goods are transported in shipping containers and, as customs can control only about 2% of them, efficient customs risk analysis is crucial. In support to EU customs, the Joint Research Centre of the European Commission has developed the ConTraffic visual analytics research prototype. This paper presents the main architectural elements of the application and some visualization and user-interaction techniques selected to enable the route-based risk analysis of large number of shipping containers. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Human | |
| dc.subject | centered computing | |
| dc.subject | Visual analytics | |
| dc.title | ConTraffic Visual Analytics in Support to Customs Risk-Analysis | en_US |
| dc.description.seriesinformation | EuroVis 2017 - Posters | |
| dc.description.sectionheaders | Posters | |
| dc.identifier.doi | 10.2312/eurp.20171177 | |
| dc.identifier.pages | 93-95 | |
