Human-centered machine learning through interactive visualization

dc.contributor.authorSacha, Dominik
dc.contributor.authorSedlmair, Michael
dc.contributor.authorZhang, Leishi
dc.contributor.authorLee, John Aldo
dc.contributor.authorWeiskopf, Daniel
dc.contributor.authorNorth, Stephen
dc.contributor.authorKeim, Daniel A.
dc.date.accessioned2017-03-23T09:20:34Z
dc.date.available2017-03-23T09:20:34Z
dc.date.issued2016eng
dc.description.abstractThe goal of visual analytics (VA) systems is to solve complex problems by integrating automated data analysis methods, such as machine learning (ML) algorithms, with interactive visualizations. We propose a conceptual framework that models human interactions with ML components in the VA process, and makes the crucial interplay between automated algorithms and interactive visualizations more concrete. The framework is illustrated through several examples. We derive three open research challenges at the intersection of ML and visualization research that will lead to more effective data analysis.eng
dc.description.versionpublishedeng
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/38113
dc.language.isoengeng
dc.subject.ddc004eng
dc.titleHuman-centered machine learning through interactive visualizationeng
dc.typeINPROCEEDINGSeng
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Sacha2016Human-38113,
  year={2016},
  title={Human-centered machine learning through interactive visualization},
  isbn={978-2-87587-026-1},
  publisher={Ciaco - i6doc.com},
  address={Louvain-la-Neuve, Belgique},
  booktitle={24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning : ESANN 2016 : Bruges, Belgium, April 27-28-29, 2016 ; proceedings},
  pages={641--646},
  editor={Verleysen, Michel},
  author={Sacha, Dominik and Sedlmair, Michael and Zhang, Leishi and Lee, John Aldo and Weiskopf, Daniel and North, Stephen and Keim, Daniel A.}
}
kops.citation.iso690SACHA, Dominik, Michael SEDLMAIR, Leishi ZHANG, John Aldo LEE, Daniel WEISKOPF, Stephen NORTH, Daniel A. KEIM, 2016. Human-centered machine learning through interactive visualization. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium, 27. Apr. 2016 - 29. Apr. 2016. In: VERLEYSEN, Michel, ed.. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning : ESANN 2016 : Bruges, Belgium, April 27-28-29, 2016 ; proceedings. Louvain-la-Neuve, Belgique: Ciaco - i6doc.com, 2016, pp. 641-646. ISBN 978-2-87587-026-1deu
kops.citation.iso690SACHA, Dominik, Michael SEDLMAIR, Leishi ZHANG, John Aldo LEE, Daniel WEISKOPF, Stephen NORTH, Daniel A. KEIM, 2016. Human-centered machine learning through interactive visualization. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium, Apr 27, 2016 - Apr 29, 2016. In: VERLEYSEN, Michel, ed.. 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning : ESANN 2016 : Bruges, Belgium, April 27-28-29, 2016 ; proceedings. Louvain-la-Neuve, Belgique: Ciaco - i6doc.com, 2016, pp. 641-646. ISBN 978-2-87587-026-1eng
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kops.sourcefieldVERLEYSEN, Michel, ed.. <i>24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning : ESANN 2016 : Bruges, Belgium, April 27-28-29, 2016 ; proceedings</i>. Louvain-la-Neuve, Belgique: Ciaco - i6doc.com, 2016, pp. 641-646. ISBN 978-2-87587-026-1deu
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source.title24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning : ESANN 2016 : Bruges, Belgium, April 27-28-29, 2016 ; proceedingseng

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