Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014)
- Startseite
- →
- Informatik und Informationswissenschaft
- →
- Informatik und Informationswissenschaft
- →
- Dokumentanzeige
| Publikationstyp: | Beitrag zu einer Konferenz |
| URI (zitierfähiger Link): | http://nbn-resolving.de/urn:nbn:de:bsz:352-0-282560 |
| Autor/innen: | Fischer, Fabian; Stoffel, Florian; Mittelstädt, Sebastian; Schreck, Tobias; Keim, Daniel A. |
| Erscheinungsjahr: | 2014 |
| Konferenz: | IEEE Conference on Visual Analytics Science and Technology (VAST), 2014, 9. Okt 2014 - 14. Okt 2014, Paris |
| Erschienen in: | 2014 IEEE Conference on Visual Analytics Science and Technology (VAST) : Proceedings ; Paris, France, 9-14 October 2014 / Min Chen ... (Hrsg.). - Piscataway, NJ : IEEE, 2014. - S. 301-302. - ISBN 978-1-4799-6227-3 |
| DOI (zitierfähiger Link): | https://dx.doi.org/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.
|
| Fachgebiet (DDC): | 004 Informatik |
| Link zur Lizenz: | Nutzungsbedingungen |
| Universitätsbibliographie: | Ja |
Zitieren
Dateien zu dieser Ressource
![[PDF]](/themes/Kops/images/mimes/pdf.png "PDF file"){kind=small}
FISCHER, 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. IEEE Conference on Visual Analytics Science and Technology (VAST), 2014. Paris, 9. Okt 2014 - 14. Okt 2014. Piscataway, NJ:IEEE, pp. 301-302. ISBN 978-1-4799-6227-3. Available under: doi: 10.1109/VAST.2014.7042537
@inproceedings{Fischer2014Using-30123, title={Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014)}, year={2014}, doi={10.1109/VAST.2014.7042537}, isbn={978-1-4799-6227-3}, address={Piscataway, NJ}, publisher={IEEE}, 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 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/rdf/resource/123456789/30123"> <dc:creator>Stoffel, Florian</dc:creator> <dc:rights>terms-of-use</dc:rights> <dc:creator>Schreck, Tobias</dc:creator> <dc:contributor>Mittelstädt, Sebastian</dc:contributor> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:issued>2014</dcterms:issued> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30123/1/Fischer_0-282560.pdf"/> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30123"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:creator>Fischer, Fabian</dc:creator> <dcterms:rights rdf:resource="https://kops.uni-konstanz.de/page/termsofuse"/> <dc:language>eng</dc:language> <dc:creator>Keim, Daniel A.</dc:creator> <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> <dcterms:title>Using visual analytics to support decision making to solve the Kronos incident (VAST challenge 2014)</dcterms:title> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:contributor>Fischer, Fabian</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/30123/1/Fischer_0-282560.pdf"/> <dc:creator>Mittelstädt, Sebastian</dc:creator> <dc:contributor>Stoffel, Florian</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-27T14:17:09Z</dc:date> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:contributor>Schreck, Tobias</dc:contributor> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-27T14:17:09Z</dcterms:available> </rdf:Description> </rdf:RDF>
Dateiabrufe seit 27.02.2015 (Informationen über die Zugriffsstatistik)
| Fischer_0-282560.pdf | 60 |
Das Dokument erscheint in:
KOPS Suche
Stöbern
Mein Benutzerkonto
