Visual Analytics : Scope and Challenges


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KEIM, Daniel A., Florian MANSMANN, Jörn SCHNEIDEWIND, Jim THOMAS, Hartmut ZIEGLER, 2008. Visual Analytics : Scope and Challenges. In: Lecture notes in computer science. 4404, pp. 76-90. ISSN 0302-9743. Available under: doi: 10.1007/978-3-540-71080-6_6

@article{Keim2008Visua-5631, title={Visual Analytics : Scope and Challenges}, year={2008}, doi={10.1007/978-3-540-71080-6_6}, volume={4404}, issn={0302-9743}, journal={Lecture notes in computer science}, pages={76--90}, author={Keim, Daniel A. and Mansmann, Florian and Schneidewind, Jörn and Thomas, Jim and Ziegler, Hartmut} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dcterms:issued>2008</dcterms:issued> <dc:contributor>Schneidewind, Jörn</dc:contributor> <dcterms:title>Visual Analytics : Scope and Challenges</dcterms:title> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:creator>Ziegler, Hartmut</dc:creator> <dc:contributor>Mansmann, Florian</dc:contributor> <dcterms:hasPart rdf:resource=""/> <dcterms:rights rdf:resource=""/> <dc:language>eng</dc:language> <dspace:hasBitstream rdf:resource=""/> <dc:creator>Thomas, Jim</dc:creator> <dcterms:isPartOf rdf:resource=""/> <dc:contributor>Thomas, Jim</dc:contributor> <dc:creator>Mansmann, Florian</dc:creator> <bibo:uri rdf:resource=""/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:bibliographicCitation>First publ. in: Lecture notes in computer science, No. 4404 (2008), pp. 76-90</dcterms:bibliographicCitation> <dc:format>application/pdf</dc:format> <dcterms:abstract xml:lang="eng">In today's applications data is produced at unprecedented rates. While the capacity to collect and store new data rapidly grows, the ability to analyze these data volumes increases at much lower rates. This gap leads to new challenges in the analysis process, since analysts, decision makers, engineers, or emergency response teams depend on information hidden in the data. The emerging field of visual analytics focuses on handling these massive, heterogenous, and dynamic volumes of information by integrating 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, addresses the most important research challenges and presents use cases from a wide variety of application scenarios.</dcterms:abstract> <dc:date rdf:datatype="">2011-03-24T15:57:20Z</dc:date> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:creator>Schneidewind, Jörn</dc:creator> <dcterms:available rdf:datatype="">2011-03-24T15:57:20Z</dcterms:available> <dspace:isPartOfCollection rdf:resource=""/> <dc:rights>terms-of-use</dc:rights> <dc:creator>Keim, Daniel A.</dc:creator> <dc:contributor>Ziegler, Hartmut</dc:contributor> </rdf:Description> </rdf:RDF>

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