Publikation:

Visual Exploration of Large Data Sets

Vorschaubild

Dateien

p38_keim.pdf
p38_keim.pdfGröße: 450.4 KBDownloads: 1868

Datum

2001

Autor:innen

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-70138
DOI (zitierfähiger Link)
https://doi.org/10.1145/381641.381656
ArXiv-ID

Internationale Patentnummer

Link zur Lizenz
Attribution-NonCommercial-NoDerivs 2.0 Generic

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green

Sammlungen

Informatik und Informationswissenschaft: Publikationen
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published

Erschienen in

Communications of the ACM. 2001, 44(8), pp. 38-44. Available under: doi: 10.1145/381641.381656

Zusammenfassung

Computer systems today store vast amounts of data. Researches, including those working on the "How Much Information?" project at the University of California, Berkeley, recently estimated, about 1 exabyte (1 million terrabytes) of data is generated annually worldwide, including 99.997% available only in digital form. This worldwide data deluge means that in the next three years, more data will be generated than during all previous human history.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690KEIM, Daniel A., 2001. Visual Exploration of Large Data Sets. In: Communications of the ACM. 2001, 44(8), pp. 38-44. Available under: doi: 10.1145/381641.381656
BibTex
@article{Keim2001Visua-5737,
  year={2001},
  doi={10.1145/381641.381656},
  title={Visual Exploration of Large Data Sets},
  number={8},
  volume={44},
  journal={Communications of the ACM},
  pages={38--44},
  author={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/123456789/5737">
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/2.0/"/>
    <dcterms:bibliographicCitation>First publ. in: Communications of the ACM 44 (2001), 8, pp. 38-44</dcterms:bibliographicCitation>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:language>eng</dc:language>
    <dcterms:abstract xml:lang="eng">Computer systems today store vast amounts of data. Researches, including those working on the "How Much Information?" project at the University of California, Berkeley, recently estimated, about 1 exabyte (1 million terrabytes) of data is generated annually worldwide, including 99.997% available only in digital form. This worldwide data deluge means that in the next three years, more data will be generated than during all previous human history.</dcterms:abstract>
    <dcterms:title>Visual Exploration of Large Data Sets</dcterms:title>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5737/1/p38_keim.pdf"/>
    <dc:rights>Attribution-NonCommercial-NoDerivs 2.0 Generic</dc:rights>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:issued>2001</dcterms:issued>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5737/1/p38_keim.pdf"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:format>application/pdf</dc:format>
    <dc:contributor>Keim, Daniel A.</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5737"/>
    <dc:creator>Keim, Daniel A.</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:59:42Z</dc:date>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:59:42Z</dcterms:available>
  </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