Publikation:

Recursive Pattern : A Technique for Visualizing Very Large Amounts of Data

Lade...
Vorschaubild

Dateien

Recursive_Pattern.pdf
Recursive_Pattern.pdfGröße: 768.95 KBDownloads: 835

Datum

1995

Autor:innen

Kriegel, Hans-Peter
Ankerst, Mihael

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

ArXiv-ID

Internationale Patentnummer

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

Proceedings Visualization '95. IEEE Comput. Soc. Press, 1995, pp. 279-286,. ISBN 0-8186-7187-4. Available under: doi: 10.1109/VISUAL.1995.485140

Zusammenfassung

An important goal of visualization technology is to support the exploration and analysis of very large amounts of data. In this paper, we propose a new visualization technique called recursive pattern which has been developed for visualizing large amounts of multidimensional data. The technique is based on a generic recursive scheme which generalizes a wide range of pixel-oriented arrangements for displaying large data sets. By instantiating the technique with adequate data- and application-dependent parameters, the user may largely influence the structure of the resulting visualizations. Since the technique uses one pixel for presenting each data value, the amount of data which can be displayed is only limited by the resolution of current display technology and by the limitations of human perceptibility. Beside describing the basic idea of the recursive pattern technique, we provide several examples of useful parameter settings for the various recursion levels. We further show that our recursive pattern technique is particularly advantageous for the large class of data sets which have a natural order according to one dimension (e.g. time series data). We demonstrate the usefulness of our technique by using a stock market application.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Visualizing Large Data Sets, Visualizing Multidimensional and Multivariate Data, Visualizing Large Sequential Data Sets

Konferenz

Visualization '95, Atlanta, GA, USA
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690KEIM, Daniel A., Hans-Peter KRIEGEL, Mihael ANKERST, 1995. Recursive Pattern : A Technique for Visualizing Very Large Amounts of Data. Visualization '95. Atlanta, GA, USA. In: Proceedings Visualization '95. IEEE Comput. Soc. Press, 1995, pp. 279-286,. ISBN 0-8186-7187-4. Available under: doi: 10.1109/VISUAL.1995.485140
BibTex
@inproceedings{Keim1995Recur-5839,
  year={1995},
  doi={10.1109/VISUAL.1995.485140},
  title={Recursive Pattern : A Technique for Visualizing Very Large Amounts of Data},
  isbn={0-8186-7187-4},
  publisher={IEEE Comput. Soc. Press},
  booktitle={Proceedings Visualization '95},
  pages={279--286,},
  author={Keim, Daniel A. and Kriegel, Hans-Peter and Ankerst, Mihael}
}
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/123456789/5839">
    <dc:language>eng</dc:language>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:title>Recursive Pattern : A Technique for Visualizing Very Large Amounts of Data</dcterms:title>
    <dc:rights>Attribution-NonCommercial-NoDerivs 2.0 Generic</dc:rights>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/2.0/"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Kriegel, Hans-Peter</dc:creator>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5839/1/Recursive_Pattern.pdf"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5839/1/Recursive_Pattern.pdf"/>
    <dc:format>application/pdf</dc:format>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:00:32Z</dcterms:available>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Ankerst, Mihael</dc:contributor>
    <dcterms:issued>1995</dcterms:issued>
    <dc:creator>Ankerst, Mihael</dc:creator>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:contributor>Kriegel, Hans-Peter</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5839"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:00:32Z</dc:date>
    <dcterms:abstract xml:lang="eng">An important goal of visualization technology is to support the exploration and analysis of very large amounts of data. In this paper, we propose a new visualization technique called  recursive pattern  which has been developed for visualizing large amounts of multidimensional data. The technique is based on a generic recursive scheme which generalizes a wide range of pixel-oriented arrangements for displaying large data sets. By instantiating the technique with adequate data- and application-dependent parameters, the user may largely influence the structure of the resulting visualizations. Since the technique uses one pixel for presenting each data value, the amount of data which can be displayed is only limited by the resolution of current display technology and by the limitations of human perceptibility. Beside describing the basic idea of the  recursive pattern  technique, we provide several examples of useful parameter settings for the various recursion levels. We further show that our  recursive pattern  technique is particularly advantageous for the large class of data sets which have a natural order according to one dimension (e.g. time series data). We demonstrate the usefulness of our technique by using a stock market application.</dcterms:abstract>
    <dcterms:bibliographicCitation>First publ. in: Visualization '95: proceedings, October 29 - November 3, 1995, Atlanta, Ga. / Ed. by Greg Nielson ... Los Alamitos : IEEE Computer Soc. Pr., 1995, pp. 279-286</dcterms:bibliographicCitation>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
  </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
Nein
Begutachtet
Diese Publikation teilen