Contribution to a conference collection:
A Visual Analytics Approach for Crime Signature Generation and Exploration

Thumbnail Image
Date
2016
relationships.isEditorOf
Contact
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
DOI (citable link)
ArXiv-ID
International patent number
Link to the license
Project
EU project number
Open Access publication
Restricted until
Title in another language
Research Projects
Organizational Units
Journal Issue
Publication type
Contribution to a conference collection
Publication status
Published
Abstract
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.
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
Event extraction, sequence mining, event analysis, interactive visualization, visual analytics, crime analysis
Published in
IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis : Papers
Conference
IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis, Oct 24, 2016, Baltimore, USA
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690JENTNER, 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, Oct 24, 2016. In: IEEE VIS2016 Workshop on Temporal & Sequential Event Analysis : Papers
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>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Contact
Test date of URL
2018-02-12
Examination date of dissertation
Method of financing
Comment on publication
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
Yes
Refereed
Link to research data
Description of supplementary data