Visual Analysis of Parallel Interval Events

dc.contributor.authorQi, Jien_US
dc.contributor.authorLiu, Congen_US
dc.contributor.authorCappers, B. C. M. (Bram)en_US
dc.contributor.authorWetering, Huub van deen_US
dc.contributor.editorJimmy Johansson and Filip Sadlo and Tobias Schrecken_US
dc.date.accessioned2018-06-02T17:54:20Z
dc.date.available2018-06-02T17:54:20Z
dc.date.issued2018
dc.description.abstractSystem logs typically contain lines with time stamps that each describes an event. Where these events semantically form start and end events, they can be combined into interval events. For visual event analytics, the analysis of interval events is more complex than that of point events, since not only the order of events, but also temporal overlaps have to be taken into account. To address this increased complexity and for the purpose of system understanding and analysis, we present SELE, a domainindependent tool for visualizing parallel interval events. SELE is intended to be used on a single long trace of events. A visual technique named strata timeline is developed to handle visual scalability issues. Finally, a multi-core parallel graph searching algorithm is analyzed to demonstrate SELE.en_US
dc.description.sectionheadersVisual Analytics and Applications
dc.description.seriesinformationEuroVis 2018 - Short Papers
dc.identifier.doi10.2312/eurovisshort.20181074
dc.identifier.isbn978-3-03868-060-4
dc.identifier.pages31-35
dc.identifier.urihttps://doi.org/10.2312/eurovisshort.20181074
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurovisshort20181074
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisual analytics
dc.subjectVisualization systems and tools
dc.subjectInformation systems
dc.subjectData analytics
dc.titleVisual Analysis of Parallel Interval Eventsen_US
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