Voila : Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data
The increasing availability of spatiotemporal data continuously collected from various sources provides new opportunities for a timely understanding of the data in their spatial and temporal context. Finding abnormal patterns in such data poses significant challenges. Given that there is often no cl...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 24(2018), 1 vom: 30. Jan., Seite 23-33
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| 1. Verfasser: |
Cao, Nan
(VerfasserIn) |
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| Weitere Verfasser: |
Lin, Chaoguang,
Zhu, Qiuhan,
Lin, Yu-Ru,
Teng, Xian,
Wen, Xidao |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2018
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, Non-U.S. Gov't |
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