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dc.contributor.authorCorput, Paul van deren_US
dc.contributor.authorWijk, Jarke J. vanen_US
dc.contributor.editorKwan-Liu Ma and Giuseppe Santucci and Jarke van Wijken_US
dc.date.accessioned2016-06-09T09:32:34Z
dc.date.available2016-06-09T09:32:34Z
dc.date.issued2016en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12879en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.description.abstractThe exploration of high-dimensional data is challenging because humans have difficulty to understand more than three dimensions. We present a new visualization concept that enables users to explore such data and, specifically, to learn about important items and features that are unknown or overlooked, based on the items and features that are already known. The visualization consists of two juxtaposed tables: an IF-Table, showing all items with a selection of features; and an FI-Table, showing all features with a selection of items. This enables the user to limit the number of visible items and features to those needed for the exploration. The interaction is kept simple: each selection of items and features results in a complete overview of similar and relevant items and features.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectH5.2 [Information Systems]en_US
dc.subjectUser Interfacesen_US
dc.subjectGraphical user interfaces H5.2 [Information Systems]en_US
dc.subjectUser Interfacesen_US
dc.subjectInteraction stylesen_US
dc.titleExploring Items and Features with IF,FI-Tablesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.sectionheadersHigh-Dimensional Dataen_US
dc.description.volume35en_US
dc.description.number3en_US
dc.identifier.doi10.1111/cgf.12879en_US
dc.identifier.pages031-040en_US


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