@inproceedings{Spinner2021Specu-53310,
  year={2021},
  title={Speculative Execution of Similarity Queries : Real-Time Parameter Optimization through Visual Exploration},
  url={http://ceur-ws.org/Vol-2841/SIMPLIFY_4.pdf},
  number={2841},
  publisher={CEUR},
  address={Aachen},
  series={CEUR Workshop Proceedings},
  booktitle={Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference},
  editor={Costa, Constantinos and Pitoura, Evaggelia},
  author={Spinner, Thilo and Schlegel, Udo and Schall, Martin and Sperrle, Fabian and Sevastjanova, Rita and Gobbo, Beatrice and Rauscher, Julius and El-Assady, Mennatallah and Keim, Daniel A.}
}

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    <dc:creator>Sevastjanova, Rita</dc:creator>
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    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:creator>Gobbo, Beatrice</dc:creator>
    <dc:contributor>Gobbo, Beatrice</dc:contributor>
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    <dc:creator>Sperrle, Fabian</dc:creator>
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    <dc:contributor>Sevastjanova, Rita</dc:contributor>
    <dc:contributor>Sperrle, Fabian</dc:contributor>
    <dc:creator>Schlegel, Udo</dc:creator>
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    <dc:creator>Schall, Martin</dc:creator>
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    <dc:contributor>Spinner, Thilo</dc:contributor>
    <dc:contributor>Rauscher, Julius</dc:contributor>
    <dc:creator>Rauscher, Julius</dc:creator>
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    <dc:creator>El-Assady, Mennatallah</dc:creator>
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    <dc:contributor>Schlegel, Udo</dc:contributor>
    <dc:creator>Spinner, Thilo</dc:creator>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dcterms:title>Speculative Execution of Similarity Queries : Real-Time Parameter Optimization through Visual Exploration</dcterms:title>
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    <dcterms:abstract xml:lang="eng">The parameters of complex analytical models often have an unpredictable influence on the models’ results, rendering parameter tuning a non-intuitive task. By concurrently visualizing both the model and its results, visual analytics tackles this issue, supporting the user in understanding the connection between abstract model parameters and model results. We present a visual analytics system enabling result understanding and model refinement on a ranking-based similarity search algorithm. Our system (1) visualizes the results in a projection view, mapping their pair-wise similarity to screen distance, (2) indicates the influence of model parameters on the results, and (3) implements speculative execution to enable real-time iterative refinement on the time-intensive offline similarity search algorithm.</dcterms:abstract>
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