Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems-Reference-Cited by-同舟云学术

Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems

Published:2024-05-13 Issue: Volume:6 Page:2859-2869
ISSN:
Container-title:Proceedings of the ACM Web Conference 2024
language:
Short-container-title:

Author:

Yu Zhaoyang¹^ORCID,Zhang Shenglin²^ORCID,Sun Mingze³^ORCID,Li Yingke⁴^ORCID,Zhao Yankai⁴^ORCID,Hua Xiaolei⁵^ORCID,Zhu Lin⁵^ORCID,Wen Xidao⁶^ORCID,Pei Dan¹^ORCID

Affiliation:

1. Tsinghua University & BNRist, Beijing, China

2. Nankai University & HL-IT, Tianjin, China

3. Tsinghua University, Beijing, China

4. Nankai University, Tianjin, China

5. China Mobile Research Institute, Beijing, China

6. BizSeer Technology, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3645392

Reference36 articles.

1. Julien Audibert, Pietro Michiardi, Fré dé ric Guyard, Sé bastien Marti, and Maria A. Zuluaga. 2020. USAD: UnSupervised Anomaly Detection on Multivariate Time Series. In KDD. ACM, 3395--3404.

2. Pengguang Chen, Shu Liu, Hengshuang Zhao, and Jiaya Jia. 2020. Gridmask data augmentation. arXiv preprint arXiv:2001.04086 (2020).

3. Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, and Michael R. Lyu. 2022. Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. In 44th IEEE/ACM 44th International Conference on Software Engineering, ICSE 2022, Pittsburgh, PA, USA, May 25--27, 2022. IEEE, 61--72.

4. STL: A seasonal-trend decomposition;Cleveland Robert B;J. Off. Stat,1990

5. GenAD: General unsupervised anomaly detection using multivariate time series for large‐scale wireless base stations

Cited by 1 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. Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24