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

Sessler, David and Spott, Martin and Nauck, Detlef and Harmer, William and Kohlhammer, Jörn and Bernard, Jürgen (2016):
Towards Combining Attribute-Based and Time Series-Based Visual Querying.
Eurographics Association, Goslar, In: EuroVis 2016. Eurographics / IEEE Symposium on Visualization 2016: Posters, Groningen, the Netherlands, 6-10 June 2016, DOI: 10.2312/eurp.20161145,
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Sessler, David and Spott, Martin and Nauck, Detlef and Harmer, William and Kohlhammer, Jörn and Bernard, Jürgen
Title: Towards Combining Attribute-Based and Time Series-Based Visual Querying
Language: English
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.

Publisher: Eurographics Association, Goslar
Uncontrolled Keywords: 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
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: EuroVis 2016. Eurographics / IEEE Symposium on Visualization 2016: Posters
Event Location: Groningen, the Netherlands
Event Dates: 6-10 June 2016
Date Deposited: 07 May 2019 09:24
DOI: 10.2312/eurp.20161145
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