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dc.contributor.authorBernard, Jürgenen_US
dc.contributor.authorHutter, Marcoen_US
dc.contributor.authorReinemuth, Heikoen_US
dc.contributor.authorPfeifer, Hendriken_US
dc.contributor.authorBors, Christianen_US
dc.contributor.authorKohlhammer, Jörnen_US
dc.contributor.editorGleicher, Michael and Viola, Ivan and Leitte, Heikeen_US
dc.description.abstractPre-processing is a prerequisite to conduct effective and efficient downstream data analysis. Pre-processing pipelines often require multiple routines to address data quality challenges and to bring the data into a usable form. For both the construction and the refinement of pre-processing pipelines, human-in-the-loop approaches are highly beneficial. This particularly applies to multivariate time series, a complex data type with multiple values developing over time. Due to the high specificity of this domain, it has not been subject to in-depth research in visual analytics. We present a visual-interactive approach for preprocessing multivariate time series data with the following aspects. Our approach supports analysts to carry out six core analysis tasks related to pre-processing of multivariate time series. To support these tasks, we identify requirements to baseline toolkits that may help practitioners in their choice. We characterize the space of visualization designs for uncertainty-aware pre-processing and justify our decisions. Two usage scenarios demonstrate applicability of our approach, design choices, and uncertainty visualizations for the six analysis tasks. This work is one step towards strengthening the visual analytics support for data pre-processing in general and for uncertainty-aware pre-processing of multivariate time series in particular.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectMathematics of computing
dc.subjectTime series analysis
dc.subjectcentered computing
dc.subjectVisual analytics
dc.titleVisual-Interactive Preprocessing of Multivariate Time Series Dataen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersTime Series

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  • 38-Issue 3
    EuroVis 2019 - Conference Proceedings

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