Publikation:

Visual Comparative Case Analytics

Lade...
Vorschaubild

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2017

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

SEDLMAIR, Michael, ed., Christian TOMINSKI, ed.. EuroVA17 : EuroVis Workshop on Visual Analytics : proceedings. Goslar: The Eurographics Association, 2017, pp. 49-54. ISBN 978-3-03868-042-0. Available under: doi: 10.2312/eurova.20171119

Zusammenfassung

Criminal Intelligence Analysis (CIA) faces a challenging task in handling high-dimensional data that needs to be investigated with complex analytical processes. State-of-the-art crime analysis tools do not fully support interactive data exploration and fall short of computational transparency in terms of revealing alternative results. In this paper we report our ongoing research into providing the analysts with such a transparent and interactive system for exploring similarities between crime cases. The system implements a computational pipeline together with a visual platform that allows the analysts to interact with each stage of the analysis process and to validate the result. The proposed Visual Analytics (VA) workflow iteratively supports the interpretation of obtained clustering results, the development of alternative models, as well as cluster verification. The visualizations offer a usable way for the analyst to provide feedback to the system and to observe the impact of their interactions.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

EuroVA17 : EuroVis Workshop on Visual Analytics, 12. Juni 2017 - 13. Juni 2017, Barcelona, Spain
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690SACHA, Dominik, Wolfgang JENTNER, Leishi ZHANG, Florian STOFFEL, Geoffrey ELLIS, 2017. Visual Comparative Case Analytics. EuroVA17 : EuroVis Workshop on Visual Analytics. Barcelona, Spain, 12. Juni 2017 - 13. Juni 2017. In: SEDLMAIR, Michael, ed., Christian TOMINSKI, ed.. EuroVA17 : EuroVis Workshop on Visual Analytics : proceedings. Goslar: The Eurographics Association, 2017, pp. 49-54. ISBN 978-3-03868-042-0. Available under: doi: 10.2312/eurova.20171119
BibTex
@inproceedings{Sacha2017Visua-41265,
  year={2017},
  doi={10.2312/eurova.20171119},
  title={Visual Comparative Case Analytics},
  isbn={978-3-03868-042-0},
  publisher={The Eurographics Association},
  address={Goslar},
  booktitle={EuroVA17 : EuroVis Workshop on Visual Analytics : proceedings},
  pages={49--54},
  editor={Sedlmair, Michael and Tominski, Christian},
  author={Sacha, Dominik and Jentner, Wolfgang and Zhang, Leishi and Stoffel, Florian and Ellis, Geoffrey}
}
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/123456789/41265">
    <dc:contributor>Zhang, Leishi</dc:contributor>
    <dc:creator>Sacha, Dominik</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:abstract xml:lang="eng">Criminal Intelligence Analysis (CIA) faces a challenging task in handling high-dimensional data that needs to be investigated with complex analytical processes. State-of-the-art crime analysis tools do not fully support interactive data exploration and fall short of computational transparency in terms of revealing alternative results. In this paper we report our ongoing research into providing the analysts with such a transparent and interactive system for exploring similarities between crime cases. The system implements a computational pipeline together with a visual platform that allows the analysts to interact with each stage of the analysis process and to validate the result. The proposed Visual Analytics (VA) workflow iteratively supports the interpretation of obtained clustering results, the development of alternative models, as well as cluster verification. The visualizations offer a usable way for the analyst to provide feedback to the system and to observe the impact of their interactions.</dcterms:abstract>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-02-07T15:54:26Z</dcterms:available>
    <dc:creator>Ellis, Geoffrey</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-02-07T15:54:26Z</dc:date>
    <dc:language>eng</dc:language>
    <dc:contributor>Ellis, Geoffrey</dc:contributor>
    <dcterms:issued>2017</dcterms:issued>
    <dc:creator>Jentner, Wolfgang</dc:creator>
    <dcterms:title>Visual Comparative Case Analytics</dcterms:title>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Zhang, Leishi</dc:creator>
    <dc:contributor>Jentner, Wolfgang</dc:contributor>
    <dc:contributor>Stoffel, Florian</dc:contributor>
    <dc:contributor>Sacha, Dominik</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/41265"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Stoffel, Florian</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