Interpretable Anomaly Detection in Event Sequences via Sequence Matching and Visual Comparison
Anomaly detection is a common analytical task that aims to identify rare cases that differ from the typical cases that make up the majority of a dataset. When analyzing event sequence data, the task of anomaly detection can be complex because the sequential and temporal nature of such data results i...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 28(2022), 12 vom: 30. Dez., Seite 4531-4545
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| 1. Verfasser: |
Guo, Shunan
(VerfasserIn) |
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| Weitere Verfasser: |
Jin, Zhuochen,
Chen, Qing,
Gotz, David,
Zha, Hongyuan,
Cao, Nan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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