Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies.
Yongzheng Xie|Hongyu Zhang|Muhammad Ali Babar
| Anthology ID: | DBLP:conf/www/Xie0025 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 697-705 |
| URL: | https://doi.org/10.1145/3696410.3714941 |
| DOI: | https://doi.org/10.1145/3696410.3714941 |
| DBLP: | conf/www/Xie0025 |
| BibTeX: |
@inproceedings{xie-2025-multivariate,
author = {Yongzheng Xie and
Hongyu Zhang and
Muhammad Ali Babar},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {697--705},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714941},
doi = {https://doi.org/10.1145/3696410.3714941}
}