Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

The authors used 18 well-maintained business KPIs from a large Internet company. All KPIs have an interval of 1 minute between two observations.

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Cite this as

Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei (2024). Dataset: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications. https://doi.org/10.57702/7u1wlqp5

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1145/3178876.3185996
Author Haowen Xu
More Authors
Wenxiao Chen
Nengwen Zhao
Zeyan Li
Jiahao Bu
Zhihan Li
Ying Liu
Youjian Zhao
Dan Pei
Homepage https://doi.org/10.1145/3178876.3185996