Visual analytics of anomaly detection in large data streams

Thumbnail Image
Files
Keim_Visual_analytics.pdf(1.53 MB)
Date
2009
Authors
Hao, Ming C.
Dayal, Umeshwar
Editors
Contact
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
URI (citable link)
urn:nbn:de:bsz:352-202290
DOI (citable link)
10.1117/12.810945
ArXiv-ID
International patent number
Link to the license
In Copyright
EU project number
Project
Open Access publication
Collections
Informatik und Informationswissenschaft
Restricted until
Title in another language
Research Projects
Organizational Units
Journal Issue
Publication type
Contribution to a conference collection
Publication status
Published in
Visualization and Data Analysis 2009 / Börner, Katy; Park, Jinah (ed.). - SPIE, 2009. - (SPIE Proceedings ; 7243)
Abstract
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
Conference
IS&T/SPIE Electronic Imaging, San Jose, CA
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690HAO, Ming C., Umeshwar DAYAL, Daniel A. KEIM, 2009. Visual analytics of anomaly detection in large data streams. IS&T/SPIE Electronic Imaging. San Jose, CA. In: BÖRNER, Katy, ed., Jinah PARK, ed.. Visualization and Data Analysis 2009. SPIE. Available under: doi: 10.1117/12.810945
BibTex
@inproceedings{Hao2009-01-19Visua-20229,
  year={2009},
  doi={10.1117/12.810945},
  title={Visual analytics of anomaly detection in large data streams},
  number={7243},
  publisher={SPIE},
  series={SPIE Proceedings},
  booktitle={Visualization and Data Analysis 2009},
  editor={Börner, Katy and Park, Jinah},
  author={Hao, Ming C. and Dayal, Umeshwar 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/123456789/20229">
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/20229/2/Keim_Visual_analytics.pdf"/>
    <dc:contributor>Dayal, Umeshwar</dc:contributor>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:bibliographicCitation>Visualization and Data Analysis, VDA 2009, San Jose, CA, USA, 19 January 2009 / Katy Börner and Jinah Park. - San Jose - (SPIE Proceedings ; 7243)</dcterms:bibliographicCitation>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Hao, Ming C.</dc:contributor>
    <dcterms:issued>2009-01-19</dcterms:issued>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/20229"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Dayal, Umeshwar</dc:creator>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-08-24T11:40:07Z</dc:date>
    <dc:language>eng</dc:language>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-08-24T11:40:07Z</dcterms:available>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/20229/2/Keim_Visual_analytics.pdf"/>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:title>Visual analytics of anomaly detection in large data streams</dcterms:title>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:creator>Hao, Ming C.</dc:creator>
  </rdf:Description>
</rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Contact
URL of original publication
Test date of URL
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