Challenges in Visual Data Analysis

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KEIM, Daniel A., Florian MANSMANN, Jörn SCHNEIDEWIND, Hartmut ZIEGLER, 2006. Challenges in Visual Data Analysis. Tenth International Conference on Information Visualisation (IV'06). London, England. In: Tenth International Conference on Information Visualisation (IV'06). IEEE, pp. 9-16. ISBN 0-7695-2602-0. Available under: doi: 10.1109/IV.2006.31

@inproceedings{Keim2006Chall-5515, title={Challenges in Visual Data Analysis}, year={2006}, doi={10.1109/IV.2006.31}, isbn={0-7695-2602-0}, publisher={IEEE}, booktitle={Tenth International Conference on Information Visualisation (IV'06)}, pages={9--16}, author={Keim, Daniel A. and Mansmann, Florian and Schneidewind, Jörn and Ziegler, Hartmut} }

<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/rdf/resource/123456789/5515"> <dc:format>application/pdf</dc:format> <dc:contributor>Ziegler, Hartmut</dc:contributor> <dc:contributor>Mansmann, Florian</dc:contributor> <dc:rights>terms-of-use</dc:rights> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5515/1/IV2006.pdf"/> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5515/1/IV2006.pdf"/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:creator>Keim, Daniel A.</dc:creator> <dcterms:title>Challenges in Visual Data Analysis</dcterms:title> <dcterms:bibliographicCitation>First publ. in: Information Visualization (IV 2006), Invited Paper, July 5-7, London: IEEE Pr., 2006, pp. 9-16</dcterms:bibliographicCitation> <dc:creator>Mansmann, Florian</dc:creator> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:56:09Z</dc:date> <dc:language>eng</dc:language> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T15:56:09Z</dcterms:available> <dcterms:issued>2006</dcterms:issued> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:contributor>Schneidewind, Jörn</dc:contributor> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5515"/> <dc:creator>Schneidewind, Jörn</dc:creator> <dcterms:abstract xml:lang="eng">In today s applications data is produced at unprecedented rates. While the capacity to collect and store new data grows rapidly, the ability to analyze these data volumes increases at much lower pace. This gap leads to new challenges in the analysis process, since analysts, decision makers, engineers, or emergency response teams depend on information concealed in the data. The emerging field of visual analytics focuses on handling massive, heterogenous, and dynamic volumes of information through integration of human judgement by means of visual representations and interaction techniques in the analysis process. Furthermore, it is the combination of related research areas including visualization, data mining, and statistics that turns visual analytics into a promising field of research. This paper aims at providing an overview of visual analytics, its scope and concepts, and details the most important technical research challenges in the field.</dcterms:abstract> <dcterms:rights rdf:resource="https://creativecommons.org/licenses/by-nc-nd/2.0/legalcode"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:creator>Ziegler, Hartmut</dc:creator> </rdf:Description> </rdf:RDF>

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