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Towards combining attribute-based and time series-based visual querying

: Sessler, David; Spott, Martin; Nauck, Detlef; Harmer, William; Kohlhammer, Jörn; Bernard, Jürgen


Isenberg, Tobias (Ed.); Sadlo, Filip (Ed.) ; European Association for Computer Graphics -EUROGRAPHICS-:
EuroVisPosters 2016 : Eurographics / IEEE Symposium on Visualization 2016, Groningen, the Netherlands, 6-10 June 2016
Aire-la-Ville: Eurographics Association, 2016
ISBN: 978-3-03868-015-4
Eurographics Conference on Visualization (EuroVis) <18, 2016, Groningen>
International Visualization Symposium <2016, Groningen>
Fraunhofer IGD ()
Visual analytics; information visualization; Multivariate data; multivariate time series; time series analysis; time series data visualization; decision support; 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)

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.