Publikation: Information Visualization : Scope, Techniques and Opportunities for Geovisualization
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
Never before in history has data been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data has become increasingly difficult. Information visualization and visual data mining can help to deal with the flood of information. The advantage of visual data exploration is that the user is directly involved in the data mining process. There are a large number of information visualization techniques that have been developed over the last two decades to support the exploration of large data sets. In this article, we provide an overview of information visualization and visual data mining techniques, and illustrate them using a few examples. We show that an application of information visualization methods provides new ways of analyzing geography related data.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
KEIM, Daniel A., Christian PANSE, Mike SIPS, 2004. Information Visualization : Scope, Techniques and Opportunities for Geovisualization. In: DYKES, J., ed. and others. Exploring Geovisualization. Oxford: Elsevier, 2004, pp. 1-17BibTex
@incollection{Keim2004Infor-5420, year={2004}, title={Information Visualization : Scope, Techniques and Opportunities for Geovisualization}, publisher={Elsevier}, address={Oxford}, booktitle={Exploring Geovisualization}, pages={1--17}, editor={Dykes, J.}, author={Keim, Daniel A. and Panse, Christian and Sips, Mike} }
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/123456789/5420"> <dc:language>eng</dc:language> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5420/1/GeoVDM_BookMacEachren03.pdf"/> <dc:contributor>Sips, Mike</dc:contributor> <dc:rights>Attribution-NonCommercial-NoDerivs 2.0 Generic</dc:rights> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:55:14Z</dcterms:available> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5420/1/GeoVDM_BookMacEachren03.pdf"/> <dc:creator>Sips, Mike</dc:creator> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5420"/> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:55:14Z</dc:date> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:creator>Keim, Daniel A.</dc:creator> <dcterms:title>Information Visualization : Scope, Techniques and Opportunities for Geovisualization</dcterms:title> <dcterms:issued>2004</dcterms:issued> <dcterms:bibliographicCitation>First publ. in: Exploring Geovisualization / J. Dykes ... (eds.). Oxford: Elsevier, 2004, pp. 1-17</dcterms:bibliographicCitation> <dc:contributor>Panse, Christian</dc:contributor> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:creator>Panse, Christian</dc:creator> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:format>application/pdf</dc:format> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by-nc-nd/2.0/"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:abstract xml:lang="eng">Never before in history has data been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data has become increasingly difficult. Information visualization and visual data mining can help to deal with the flood of information. The advantage of visual data exploration is that the user is directly involved in the data mining process. There are a large number of information visualization techniques that have been developed over the last two decades to support the exploration of large data sets. In this article, we provide an overview of information visualization and visual data mining techniques, and illustrate them using a few examples. We show that an application of information visualization methods provides new ways of analyzing geography related data.</dcterms:abstract> </rdf:Description> </rdf:RDF>