Towards Combining Attribute-based and Time Series-based Visual Querying (Unknown language)

In: EuroVis 2016 - Posters   ;  73-75  ;  2016

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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.

Table of contents conference proceedings

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