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dc.contributor.authorBernard, Jürgenen_US
dc.contributor.authorSessler, Daviden_US
dc.contributor.authorSteiger, Martinen_US
dc.contributor.authorSpott, Martinen_US
dc.contributor.authorKohlhammer, Jörnen_US
dc.contributor.editorNatalia Andrienko and Michael Sedlmairen_US
dc.date.accessioned2016-06-09T09:32:11Z
dc.date.available2016-06-09T09:32:11Z
dc.date.issued2016en_US
dc.identifier.isbn978-3-03868-016-1en_US
dc.identifier.issn-en_US
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/eurova20161124
dc.identifier.urihttps://doi.org/10.2312/eurova.20161124en_US
dc.description.abstractThe analysis of large, multivariate data sets is challenging, especially when some of these data objects are timeoriented. Exploring relationships between multivariate and temporal information, e.g., to identify patterns that support decision making is an important industrial analysis task. The target group of this design study are data analysts aiming at detecting fault patterns in a telecommunications network in order to spend maintenance budget more effectively. We present a visual analytics tool that provides overviews of multivariate data sets and associated time series. Users can select data subsets of interest in both attribute data and clustered time series data. Linked views consequently support the identification of relations between the two spaces. To ensure usefulness, the tool was designed in an iterative way, based on a careful characterization of the data, users, and tasks. A usage scenario demonstrates the applicability of the approach.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.5.2 [Information Interfaces and Presentation]en_US
dc.subjectUser Interfacesen_US
dc.subjectUseren_US
dc.subjectcentered designen_US
dc.titleVisual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Dataen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)en_US
dc.description.sectionheadersTemporal Data Analysisen_US
dc.identifier.doi10.2312/eurova.20161124en_US
dc.identifier.pages49-53en_US


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