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    From Ill-defined Problems to Informed Decisions

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    Date
    2014
    Author
    Roberts, Jonathan ORCID
    Keim, Daniel ORCID
    Hanratty, Timothy
    Rowlingson, Robert
    Walker, Rick
    Hall, Mark
    Jackobson, Zack
    Lavigne, Valerie
    Rooney, Chris
    Varga, Margaret
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    Abstract
    Decision makers such as military leaders and security analysts are increasingly being asked to make decisions on ill-defined problems. These problems may contain uncertain or incomplete data, and are often complex to piece together. Consequently, decision makers rely heavily on intuition, knowledge and experience. We argue for rich narratives that encapsulate both explicit data and implicit knowledge, supported by three levels of provenance: data, analytical and reasoning. Our hypotheses is that visual analytics tools and methods can help to provide a valuable means to make sense of these complex data, and to help make this tacit knowledge explicit, to support the construction and presentation of the decision.
    BibTeX
    @inproceedings {10.2312:eurova.20141138,
    booktitle = {EuroVis Workshop on Visual Analytics},
    editor = {M. Pohl and J. Roberts},
    title = {{From Ill-defined Problems to Informed Decisions}},
    author = {Roberts, Jonathan and Keim, Daniel and Hanratty, Timothy and Rowlingson, Robert and Walker, Rick and Hall, Mark and Jackobson, Zack and Lavigne, Valerie and Rooney, Chris and Varga, Margaret},
    year = {2014},
    publisher = {The Eurographics Association},
    ISBN = {978-3-905674-68-2},
    DOI = {10.2312/eurova.20141138}
    }
    URI
    http://dx.doi.org/10.2312/eurova.20141138
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA