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dc.contributor.authorHurter, Christopheen_US
dc.contributor.editorRitschel, Tobias and Telea, Alexandruen_US
dc.date.accessioned2018-04-14T18:36:34Z
dc.date.available2018-04-14T18:36:34Z
dc.date.issued2018
dc.identifier.issn1017-4656
dc.identifier.urihttp://dx.doi.org/10.2312/egt.20181026
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egt20181026
dc.description.abstractWhile many data exploration techniques are based on automatic knowledge extraction, other tools exist where the user plays the central role. This tutorial will report actual use-cases where the user interactively explores datasets and extracts relevant information. These techniques must be interactive enough to insure flexibility data exploration, therefore image-based algorithms propose a suitable solution. These algorithms, processed in parallel by the graphic card, are fast and scalable enough to support interactive big data exploration requirements.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectHuman computer interaction (HCI)
dc.subjectInteraction techniques
dc.subjectInteractive systems and tools
dc.titleImage-Based Information Visualization Tutorialen_US
dc.description.seriesinformationEG 2018 - Tutorials
dc.description.sectionheadersTutorials
dc.identifier.doi10.2312/egt.20181026
dc.identifier.pages1-3


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