Time-Series Aware Precision and Recall for Anomaly Detection-Reference-Cited by-同舟云学术

Time-Series Aware Precision and Recall for Anomaly Detection

Published:2019-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Hwang Won-Seok¹,Yun Jeong-Han¹,Kim Jonguk¹,Kim Hyoung Chun¹

Affiliation:

1. The Affiliated Institute of ETRI, Daejeon, South Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3357384.3358118

Reference10 articles.

1. J. Goh etal 2016. A dataset to support research in the design of secure water treatment systems. In CRITIS. 88--99. J. Goh et al. 2016. A dataset to support research in the design of secure water treatment systems. In CRITIS. 88--99.

2. D. Li etal 2018. Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series. (2018). arXiv:1809.04758 D. Li et al. 2018. Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series. (2018). arXiv:1809.04758

Cited by 34 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. PATE: Proximity-Aware Time Series Anomaly Evaluation;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Anomaly analytics in data-driven machine learning applications;International Journal of Data Science and Analytics;2024-07-12

3. Time-Series Aware Metrics for the Evaluation of Intraoperative Electroencephalography-Based Ischemia Detection;Studies in Health Technology and Informatics;2024-01-25

4. Anticipation, earliness, alarm cardinality: A new metric for industrial time-series anomaly detection;IFAC-PapersOnLine;2024

5. Graph Time-series Modeling in Deep Learning: A Survey;ACM Transactions on Knowledge Discovery from Data;2023-12-23