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Density Displays for Data Stream Monitoring

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HAO, Ming C., Daniel A. KEIM, Umeshwar DAYAL, Daniela OELKE, Chantal TREMBLAY, 2008. Density Displays for Data Stream Monitoring. EuroVis08: Joint Eurographics - IEEE VGTC Symposium on Visualization, 2008. In: Computer Graphics Forum. 27(3), pp. 895-902. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/j.1467-8659.2008.01222.x

@article{Hao2008-05Densi-5861, title={Density Displays for Data Stream Monitoring}, year={2008}, doi={10.1111/j.1467-8659.2008.01222.x}, number={3}, volume={27}, issn={0167-7055}, journal={Computer Graphics Forum}, pages={895--902}, author={Hao, Ming C. and Keim, Daniel A. and Dayal, Umeshwar and Oelke, Daniela and Tremblay, Chantal} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:creator>Dayal, Umeshwar</dc:creator> <dc:contributor>Keim, Daniel A.</dc:contributor> <dc:rights>Attribution-NonCommercial-NoDerivs 2.0 Generic</dc:rights> <dcterms:bibliographicCitation>First publ. in: Proceedings / EuroVis08: Joint Eurographics - IEEE VGTC Symposium on Visualization, 2008 (=Computer Graphics Forum 27 (2008), 3, pp. 895-902)</dcterms:bibliographicCitation> <dspace:hasBitstream rdf:resource=""/> <dc:format>application/pdf</dc:format> <dc:contributor>Tremblay, Chantal</dc:contributor> <dcterms:title>Density Displays for Data Stream Monitoring</dcterms:title> <dc:creator>Oelke, Daniela</dc:creator> <dc:creator>Hao, Ming C.</dc:creator> <dcterms:abstract xml:lang="eng">In many business applications, large data workloads such as sales figures or process performance measures need to be monitored in real-time. The data analysts want to catch problems in flight to reveal the root cause of anomalies. Immediate actions need to be taken before the problems become too expensive or consume too many resources. In the meantime, analysts need to have the big picture of what the information is about. In this paper, we derive and analyze two real-time visualization techniques for managing density displays: (1) circular overlay displays which visualize large volumes of data without data shift movements after the display is full, thus freeing the analyst from adjusting the mental picture of the data after each data shift; and (2) variable resolution density displays which allow users to get the entire view without cluttering. We evaluate these techniques with respect to a number of evaluation measures, such as constancy of the display and usage of display space, and compare them to conventional displays with periodic shifts. Our real time data monitoring system also provides advanced interactions such as a local root cause analysis for further exploration. The applications using a number of real-world data sets show the wide applicability and usefulness of our ideas.</dcterms:abstract> <bibo:uri rdf:resource=""/> <dc:contributor>Oelke, Daniela</dc:contributor> <dc:date rdf:datatype="">2011-03-24T16:00:44Z</dc:date> <dcterms:isPartOf rdf:resource=""/> <dc:language>deu</dc:language> <dcterms:rights rdf:resource=""/> <dcterms:hasPart rdf:resource=""/> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:contributor>Hao, Ming C.</dc:contributor> <dspace:isPartOfCollection rdf:resource=""/> <dc:contributor>Dayal, Umeshwar</dc:contributor> <dc:creator>Keim, Daniel A.</dc:creator> <dcterms:issued>2008-05</dcterms:issued> <dc:creator>Tremblay, Chantal</dc:creator> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:available rdf:datatype="">2011-03-24T16:00:44Z</dcterms:available> </rdf:Description> </rdf:RDF>

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