TU Darmstadt / ULB / TUbiblio

Towards Combining Attribute-Based and Time Series-Based Visual Querying

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 (06.06.2016-10.06.2016)
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: 06.06.2016-10.06.2016
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
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen