Towards Online and Safe Configuration Tuning with Semi-supervised Anomaly Detection.
Haitian Chen|Xu Chen|Zibo Liang|Xiushi Feng|Jiandong Xie|Han Su|Kai Zheng
| Anthology ID: | DBLP:conf/cikm/Chen0LFXS024 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 218-227 |
| URL: | https://doi.org/10.1145/3627673.3679700 |
| DOI: | https://doi.org/10.1145/3627673.3679700 |
| DBLP: | conf/cikm/Chen0LFXS024 |
| BibTeX: |
@inproceedings{chen-2024-towards,
author = {Haitian Chen and
Xu Chen and
Zibo Liang and
Xiushi Feng and
Jiandong Xie and
Han Su and
Kai Zheng},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Towards Online and Safe Configuration Tuning with Semi-supervised Anomaly Detection}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {218--227},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679700},
doi = {https://doi.org/10.1145/3627673.3679700}
}