A Visual Analytics Approach for Crime Signature Generation and Exploration

Jentner, Wolfgang; Ellis, Geoffrey; Stoffel, Florian; Sacha, Dominik; Keim, Daniel A.

A Visual Analytics Approach for Crime Signature Generation and Exploration

Dateien

Jentner_2-9huiij7kbxyc7.pdfGröße: 8.72 MBDownloads: 292

Datum

2016

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis : Papers. 2016

Zusammenfassung

The exploration of volumes of crime reports is a tedious task in crime intelligence analysis, given the largely unstructured nature of the crime descriptions. This paper describes a Visual Analytics approach for crime signature exploration that tightly integrates automated event sequence extraction and signature mining with interactive visualization. We describe the major components of our analysis pipeline — crime concept/event extraction, crime sequence mining, and interactive visualization. We illustrate its applicability with a real world use case. Finally, we discuss current problems, future plans, and open challenges in our development of a solution that incorporates automated event pattern mining with human expert feedback.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Event extraction, sequence mining, event analysis, interactive visualization, visual analytics, crime analysis

Konferenz

IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis, 24. Okt. 2016, Baltimore, USA

Zitieren

ISO 690

JENTNER, Wolfgang, Geoffrey ELLIS, Florian STOFFEL, Dominik SACHA, Daniel A. KEIM, 2016. A Visual Analytics Approach for Crime Signature Generation and Exploration. IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis. Baltimore, USA, 24. Okt. 2016. In: IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis : Papers. 2016

BibTex

@inproceedings{Jentner2016Visua-41296,
  year={2016},
  title={A Visual Analytics Approach for Crime Signature Generation and Exploration},
  url={http://eventevent.github.io/papers/EVENT_2016_paper_24.pdf},
  booktitle={IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis : Papers},
  author={Jentner, Wolfgang and Ellis, Geoffrey and Stoffel, Florian and Sacha, Dominik 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/123456789/41296">
    <dcterms:issued>2016</dcterms:issued>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-02-12T11:59:18Z</dcterms:available>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/41296"/>
    <dc:creator>Jentner, Wolfgang</dc:creator>
    <dc:creator>Ellis, Geoffrey</dc:creator>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/41296/3/Jentner_2-9huiij7kbxyc7.pdf"/>
    <dc:contributor>Stoffel, Florian</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:title>A Visual Analytics Approach for Crime Signature Generation and Exploration</dcterms:title>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Jentner, Wolfgang</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:rights>terms-of-use</dc:rights>
    <dc:language>eng</dc:language>
    <dcterms:abstract xml:lang="eng">The exploration of volumes of crime reports is a tedious task in crime intelligence analysis, given the largely unstructured nature of the crime descriptions. This paper describes a Visual Analytics approach for crime signature exploration that tightly integrates automated event sequence extraction and signature mining with interactive visualization. We describe the major components of our analysis pipeline — crime concept/event extraction, crime sequence mining, and interactive visualization. We illustrate its applicability with a real world use case. Finally, we discuss current problems, future plans, and open challenges in our development of a solution that incorporates automated event pattern mining with human expert feedback.</dcterms:abstract>
    <dc:creator>Sacha, Dominik</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/41296/3/Jentner_2-9huiij7kbxyc7.pdf"/>
    <dc:contributor>Sacha, Dominik</dc:contributor>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:creator>Stoffel, Florian</dc:creator>
    <dc:contributor>Ellis, Geoffrey</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-02-12T11:59:18Z</dc:date>
  </rdf:Description>
</rdf:RDF>

URL der Originalveröffentl.

http://eventevent.github.io/papers/EVENT_2016_paper_24.pdf

Prüfdatum der URL

2018-02-12

Universitätsbibliographie

Ja