Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems.
Zhaoyang Yu|Shenglin Zhang|Mingze Sun|Yingke Li|Yankai Zhao|Xiaolei Hua|Lin Zhu|Xidao Wen|Dan Pei
| Anthology ID: | DBLP:conf/www/YuZSLZHZWP24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2859-2869 |
| URL: | https://doi.org/10.1145/3589334.3645392 |
| DOI: | https://doi.org/10.1145/3589334.3645392 |
| DBLP: | conf/www/YuZSLZHZWP24 |
| BibTeX: |
@inproceedings{yu-2024-supervised,
author = {Zhaoyang Yu and
Shenglin Zhang and
Mingze Sun and
Yingke Li and
Yankai Zhao and
Xiaolei Hua and
Lin Zhu and
Xidao Wen and
Dan Pei},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {2859--2869},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645392},
doi = {https://doi.org/10.1145/3589334.3645392}
}