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2016
Conference Paper
Titel
Towards combining attribute-based and time series-based visual querying
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.
Author(s)
Tags
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Visual analytics
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information visualization
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Multivariate data
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multivariate time series
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time series analysis
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time series data visualization
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decision support
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Lead Topic: Digitized Work
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Lead Topic: Individual Health
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Lead Topic: Smart City
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Research Line: Computer graphics (CG)
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Research Line: Computer vision (CV)
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Research Line: Human computer interaction (HCI)