Visual Analysis of Parallel Interval Events
dc.contributor.author | Qi, Ji | en_US |
dc.contributor.author | Liu, Cong | en_US |
dc.contributor.author | Cappers, B. C. M. (Bram) | en_US |
dc.contributor.author | Wetering, Huub van de | en_US |
dc.contributor.editor | Jimmy Johansson and Filip Sadlo and Tobias Schreck | en_US |
dc.date.accessioned | 2018-06-02T17:54:20Z | |
dc.date.available | 2018-06-02T17:54:20Z | |
dc.date.issued | 2018 | |
dc.description.abstract | System 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.sectionheaders | Visual Analytics and Applications | |
dc.description.seriesinformation | EuroVis 2018 - Short Papers | |
dc.identifier.doi | 10.2312/eurovisshort.20181074 | |
dc.identifier.isbn | 978-3-03868-060-4 | |
dc.identifier.pages | 31-35 | |
dc.identifier.uri | https://doi.org/10.2312/eurovisshort.20181074 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/eurovisshort20181074 | |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Human | |
dc.subject | centered computing | |
dc.subject | Visual analytics | |
dc.subject | Visualization systems and tools | |
dc.subject | Information systems | |
dc.subject | Data analytics | |
dc.title | Visual Analysis of Parallel Interval Events | en_US |