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} }