Sessler, David ; Spott, Martin ; Nauck, Detlef ; Harmer, William ; Kohlhammer, Jörn ; Bernard, Jürgen (2016)
Towards Combining Attribute-Based and Time Series-Based Visual Querying.
EuroVis 2016. Eurographics / IEEE Symposium on Visualization 2016: Posters. Groningen, the Netherlands (6-10 June 2016)
doi: 10.2312/eurp.20161145
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We present a concept for the visual-interactive definition of meaningful subsets in data sets comprising multivariate attributes and time series data. Based on a generalization of requirements of a real-world user group, we propose a three-stage approach, combining visual-interactive querying, query filter analysis, and result exploration. The approach includes several design parameters that can easily be adapted in future design studies for alternative applications.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Sessler, David ; Spott, Martin ; Nauck, Detlef ; Harmer, William ; Kohlhammer, Jörn ; Bernard, Jürgen |
| Art des Eintrags: | Bibliographie |
| Titel: | Towards Combining Attribute-Based and Time Series-Based Visual Querying |
| Sprache: | Englisch |
| Publikationsjahr: | Juni 2016 |
| Verlag: | Eurographics Association, Goslar |
| Veranstaltungstitel: | EuroVis 2016. Eurographics / IEEE Symposium on Visualization 2016: Posters |
| Veranstaltungsort: | Groningen, the Netherlands |
| Veranstaltungsdatum: | 6-10 June 2016 |
| DOI: | 10.2312/eurp.20161145 |
| Kurzbeschreibung (Abstract): | We present a concept for the visual-interactive definition of meaningful subsets in data sets comprising multivariate attributes and time series data. Based on a generalization of requirements of a real-world user group, we propose a three-stage approach, combining visual-interactive querying, query filter analysis, and result exploration. The approach includes several design parameters that can easily be adapted in future design studies for alternative applications. |
| Freie Schlagworte: | Guiding Theme: Digitized Work, Guiding Theme: Individual Health, Guiding Theme: Smart City, Research Area: Computer graphics (CG), Research Area: Computer vision (CV), Research Area: Human computer interaction (HCI), Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Visual analytics, Information visualization, Multivariate data, Multivariate time series, Time series analysis, Time series data visualization, Decision support |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 07 Mai 2019 09:24 |
| Letzte Änderung: | 07 Mai 2019 09:24 |
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