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    Visual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Data

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    Date
    2016
    Author
    Bernard, Jürgen ORCID
    Sessler, David
    Steiger, Martin
    Spott, Martin
    Kohlhammer, Jörn
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    Abstract
    The analysis of large, multivariate data sets is challenging, especially when some of these data objects are timeoriented. Exploring relationships between multivariate and temporal information, e.g., to identify patterns that support decision making is an important industrial analysis task. The target group of this design study are data analysts aiming at detecting fault patterns in a telecommunications network in order to spend maintenance budget more effectively. We present a visual analytics tool that provides overviews of multivariate data sets and associated time series. Users can select data subsets of interest in both attribute data and clustered time series data. Linked views consequently support the identification of relations between the two spaces. To ensure usefulness, the tool was designed in an iterative way, based on a careful characterization of the data, users, and tasks. A usage scenario demonstrates the applicability of the approach.
    BibTeX
    @inproceedings {10.2312:eurova.20161124,
    booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
    editor = {Natalia Andrienko and Michael Sedlmair},
    title = {{Visual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Data}},
    author = {Bernard, Jürgen and Sessler, David and Steiger, Martin and Spott, Martin and Kohlhammer, Jörn},
    year = {2016},
    publisher = {The Eurographics Association},
    ISSN = {-},
    ISBN = {978-3-03868-016-1},
    DOI = {10.2312/eurova.20161124}
    }
    URI
    http://dx.doi.org/10.2312/eurova.20161124
    https://diglib.eg.org:443/handle/10
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    Eurographics Association copyright © 2013 - 2022 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA