Human-centered machine learning through interactive visualization

Sacha, Dominik; Sedlmair, Michael; Zhang, Leishi; Lee, John Aldo; Weiskopf, Daniel; North, Stephen; Keim, Daniel A.

Human-centered machine learning through interactive visualization

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2016

Autor:innen

Sacha, Dominik

Sedlmair, Michael

Zhang, Leishi

Lee, John Aldo

Weiskopf, Daniel

North, Stephen

Keim, Daniel A.

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen 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 978-2-87587-026-1

Zusammenfassung

The 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.

Fachgebiet (DDC)

004 Informatik

Konferenz

24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 27. Apr. 2016 - 29. Apr. 2016, Bruges, Belgium

Zitieren

ISO 690

SACHA, 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 978-2-87587-026-1

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.}
}

RDF

<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/38113">
    <dcterms:issued>2016</dcterms:issued>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-03-23T09:20:34Z</dc:date>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Lee, John Aldo</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-03-23T09:20:34Z</dcterms:available>
    <dc:contributor>Sacha, Dominik</dc:contributor>
    <dc:creator>North, Stephen</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Zhang, Leishi</dc:creator>
    <dc:contributor>Sedlmair, Michael</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/38113"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dcterms:abstract xml:lang="eng">The 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.</dcterms:abstract>
    <dc:contributor>North, Stephen</dc:contributor>
    <dcterms:title>Human-centered machine learning through interactive visualization</dcterms:title>
    <dc:creator>Weiskopf, Daniel</dc:creator>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:contributor>Lee, John Aldo</dc:contributor>
    <dc:creator>Sacha, Dominik</dc:creator>
    <dc:language>eng</dc:language>
    <dc:contributor>Weiskopf, Daniel</dc:contributor>
    <dc:contributor>Zhang, Leishi</dc:contributor>
    <dc:creator>Sedlmair, Michael</dc:creator>
  </rdf:Description>
</rdf:RDF>

Universitätsbibliographie

Ja