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dc.contributor.authorSalisu, Saminuen_US
dc.contributor.authorXu, Kaien_US
dc.contributor.authorWagstaff, Adrianen_US
dc.contributor.authorBiggs, Mikeen_US
dc.contributor.authorPhillips, Grahamen_US
dc.contributor.editorCagatay Turkay and Tao Ruan Wanen_US
dc.date.accessioned2016-09-15T09:05:51Z
dc.date.available2016-09-15T09:05:51Z
dc.date.issued2016
dc.identifier.isbn978-3-03868-022-2
dc.identifier.issn-
dc.identifier.urihttp://dx.doi.org/10.2312/cgvc.20161291
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cgvc20161291
dc.description.abstractTimeSets consist of a timeline showing sequence of events displayed across a visualisation, while makings sense of sets relation among events in the timeline [NXWW15]. This study looked into extending TimeSets to accommodate Visualisation of trust and uncertainty as parts of its variables for events displayed across the timeline. The aim of the challenge is to build tools in the context of big data analytics that can be used to aid military operations through intelligence analytics and decision-making.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleTimeSets for Uncertainty Visualisationen_US
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.description.sectionheadersVisualisation Techniques
dc.identifier.doi10.2312/cgvc.20161291
dc.identifier.pages25-27


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