Explainable anomaly detection on high-dimensional time series data-Reference-Cited by-同舟云学术

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Explainable anomaly detection on high-dimensional time series data

Published:2021-06-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems
language:
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Author:

Rad Bijan¹,Song Fei¹,Jacob Vincent¹,Diao Yanlei¹

Affiliation:

1. École Polytechnique, Palaiseau, France

Funder

European Research Council (ERC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3465480.3468292

Reference41 articles.

1. Scipy hierarchical clustering. https://docs.scipy.org/doc/scipy/reference/cluster.hierarchy.html Scipy hierarchical clustering. https://docs.scipy.org/doc/scipy/reference/cluster.hierarchy.html

2. MacroBase

3. Causality-based Explanation of Classification Outcomes

4. Network Anomaly Detection: Methods, Systems and Tools

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Coalitional Bayesian autoencoders: Towards explainable unsupervised deep learning with applications to condition monitoring under covariate shift;Applied Soft Computing;2022-07

2. A Survey on Explainable Anomaly Detection for Industrial Internet of Things;2022 IEEE Conference on Dependable and Secure Computing (DSC);2022-06-22

3. Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection;2022 IEEE 38th International Conference on Data Engineering (ICDE);2022-05

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