• Login
    View Item 
    •   Eurographics DL Home
    • Eurographics Partner Events
    • EuroVA: International Workshop on Visual Analytics
    • EuroVA19
    • View Item
    •   Eurographics DL Home
    • Eurographics Partner Events
    • EuroVA: International Workshop on Visual Analytics
    • EuroVA19
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Quantifying Uncertainty in Multivariate Time Series Pre-Processing

    Thumbnail
    View/Open
    031-035.pdf (375.2Kb)
    Date
    2019
    Author
    Bors, Christian
    Bernard, Jürgen
    Bögl, Markus
    Gschwandtner, Theresia
    Kohlhammer, Jörn
    Miksch, Silvia
    Pay-Per-View via TIB Hannover:

    Try if this item/paper is available.

    Metadata
    Show full item record
    Abstract
    In 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.
    BibTeX
    @inproceedings {rova.20191121,
    booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
    editor = {Landesberger, Tatiana von and Turkay, Cagatay},
    title = {{Quantifying Uncertainty in Multivariate Time Series Pre-Processing}},
    author = {Bors, Christian and Bernard, Jürgen and Bögl, Markus and Gschwandtner, Theresia and Kohlhammer, Jörn and Miksch, Silvia},
    year = {2019},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-087-1},
    DOI = {10.2312/eurova.20191121}
    }
    URI
    https://doi.org/10.2312/eurova.20191121
    https://diglib.eg.org:443/handle/10.2312/eurova20191121
    Collections
    • EuroVA19

    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA
     

     

    Browse

    All of Eurographics DLCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    BibTeX | TOC

    Create BibTeX Create Table of Contents

    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA