Quantifying Uncertainty in Multivariate Time Series Pre-Processing

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dc.contributor.authorBors, Christianen_US
dc.contributor.authorBernard, Jürgenen_US
dc.contributor.authorBögl, Markusen_US
dc.contributor.authorGschwandtner, Theresiaen_US
dc.contributor.authorKohlhammer, Jörnen_US
dc.contributor.authorMiksch, Silviaen_US
dc.contributor.editorLandesberger, Tatiana von and Turkay, Cagatayen_US
dc.date.accessioned2019-06-02T18:19:21Z
dc.date.available2019-06-02T18:19:21Z
dc.date.issued2019
dc.description.abstractIn multivariate time series analysis, pre-processing is integral for enabling analysis, but inevitably introduces uncertainty into the data. Enabling the assessment of the uncertainty and allowing uncertainty-aware analysis, the uncertainty needs to be quantified initially. We address this challenge by formalizing the quantification of uncertainty for multivariate time series preprocessing. To tackle the large design space, we elaborate key considerations for quantifying and aggregating uncertainty. We provide an example how the quantified uncertainty is used in a multivariate time series pre-processing application to assess the effectiveness of pre-processing steps and adjust the pipeline to minimize the introduction of uncertainty.en_US
dc.description.sectionheadersVisual Analytics Methods
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.identifier.doi10.2312/eurova.20191121
dc.identifier.isbn978-3-03868-087-1
dc.identifier.pages31-35
dc.identifier.urihttps://doi.org/10.2312/eurova.20191121
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20191121
dc.publisherThe Eurographics Associationen_US
dc.subjectMathematics of computing
dc.subjectTime series analysis
dc.subjectInformation systems
dc.subjectUncertainty
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisualization theory
dc.subjectconcepts and paradigms
dc.subjectVisual analytics
dc.subjectComputing methodologies
dc.subjectUncertainty quantification
dc.titleQuantifying Uncertainty in Multivariate Time Series Pre-Processingen_US
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