Publikation:

Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014)

Vorschaubild

Dateien

Fischer_0-282560.pdf
Fischer_0-282560.pdfGröße: 392.28 KBDownloads: 383

Datum

2014

Autor:innen

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-0-282560
DOI (zitierfähiger Link)
https://doi.org/10.1109/VAST.2014.7042537
ArXiv-ID

Internationale Patentnummer

Link zur Lizenz
Urheberrechtlich geschützt

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green

Sammlungen

Informatik und Informationswissenschaft: Publikationen
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

MIN CHEN ..., , ed.. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings ; Paris, France, 9-14 October 2014. Piscataway, NJ: IEEE, 2014, pp. 301-302. ISBN 978-1-4799-6227-3. Available under: doi: 10.1109/VAST.2014.7042537

Zusammenfassung

Gaining insights from different heterogeneous data sources is one of the biggest challenges in decision making support. The large volumes of data can only be combined by sophisticated automatic methods. However, unexpected patterns can only be identified with the help of human intuition. In this paper, we present our visual analytics work-flows and tools to process heterogeneous data such as social networks, text streams, and geo-temporal data. We apply these tools on the VAST Challenge data and present our findings and assumptions that we identified in our analysis.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

IEEE Conference on Visual Analytics Science and Technology (VAST), 2014, 9. Okt. 2014 - 14. Okt. 2014, Paris
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690FISCHER, Fabian, Florian STOFFEL, Sebastian MITTELSTÄDT, Tobias SCHRECK, Daniel A. KEIM, 2014. Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014). IEEE Conference on Visual Analytics Science and Technology (VAST), 2014. Paris, 9. Okt. 2014 - 14. Okt. 2014. In: MIN CHEN ..., , ed.. 2014 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings ; Paris, France, 9-14 October 2014. Piscataway, NJ: IEEE, 2014, pp. 301-302. ISBN 978-1-4799-6227-3. Available under: doi: 10.1109/VAST.2014.7042537
BibTex
@inproceedings{Fischer2014Using-30123,
  year={2014},
  doi={10.1109/VAST.2014.7042537},
  title={Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014)},
  isbn={978-1-4799-6227-3},
  publisher={IEEE},
  address={Piscataway, NJ},
  booktitle={2014 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings ; Paris, France, 9-14 October 2014},
  pages={301--302},
  editor={Min Chen ...},
  author={Fischer, Fabian and Stoffel, Florian and Mittelstädt, Sebastian and Schreck, Tobias 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/123456789/30123">
    <dc:contributor>Schreck, Tobias</dc:contributor>
    <dc:contributor>Stoffel, Florian</dc:contributor>
    <dc:rights>terms-of-use</dc:rights>
    <dc:contributor>Mittelstädt, Sebastian</dc:contributor>
    <dc:creator>Fischer, Fabian</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:abstract xml:lang="eng">Gaining insights from different heterogeneous data sources is one of the biggest challenges in decision making support. The large volumes of data can only be combined by sophisticated automatic methods. However, unexpected patterns can only be identified with the help of human intuition. In this paper, we present our visual analytics work-flows and tools to process heterogeneous data such as social networks, text streams, and geo-temporal data. We apply these tools on the VAST Challenge data and present our findings and assumptions that we identified in our analysis.</dcterms:abstract>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30123"/>
    <dc:language>eng</dc:language>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-27T14:17:09Z</dcterms:available>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-27T14:17:09Z</dc:date>
    <dc:creator>Mittelstädt, Sebastian</dc:creator>
    <dcterms:issued>2014</dcterms:issued>
    <dcterms:title>Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014)</dcterms:title>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:creator>Stoffel, Florian</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30123/1/Fischer_0-282560.pdf"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30123/1/Fischer_0-282560.pdf"/>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:contributor>Fischer, Fabian</dc:contributor>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Schreck, Tobias</dc:creator>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen