2016
DOI: 10.1007/978-3-319-45378-1_63
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A Quality Assessment Framework for Large Datasets of Container-Trips Information

Abstract: Part 10: MiscellanousInternational audienceCustoms worldwide are facing the challenge of supervising huge volumes of containerized trade arriving to their country with resources allowing them to inspect only a minimal fraction of it. Risk assessment procedures can support them on the selection of the containers to inspect. The Container-Trip information (CTI) is an important element for that evaluation, but is usually not available with the needed quality. Therefore, the quality of the computed CTI records fro… Show more

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