Visual Analysis of Collective Anomalies Using Faceted High-Order Correlation Graphs
Successfully detecting, analyzing, and reasoning about collective anomalies is important for many real-life application domains (e.g., intrusion detection, fraud analysis, software security). The primary challenges to achieving this goal include the overwhelming number of low-risk events and their m...
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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1998. - 26(2020), 7 vom: 24. Juli, Seite 2517-2534
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| Auteur principal: |
Yan, Jia
(Auteur) |
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| Autres auteurs: |
Shi, Lei,
Tao, Jun,
Yu, Xiaolong,
Zhuang, Zhou,
Huang, Congcong,
Yu, Rulei,
Su, Purui,
Wang, Chaoli,
Chen, Yang |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2020
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article |
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