Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection.
Jiazhen Chen|Mingbin Feng|Tony S. Wirjanto
| Anthology ID: | DBLP:conf/wsdm/ChenFW25 |
|---|---|
| Volume: | Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025 |
| Year: | 2025 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 98-106 |
| URL: | https://doi.org/10.1145/3701551.3703494 |
| DOI: | https://doi.org/10.1145/3701551.3703494 |
| DBLP: | conf/wsdm/ChenFW25 |
| BibTeX: |
@inproceedings{chen-2025-prospective,
author = {Jiazhen Chen and
Mingbin Feng and
Tony S. Wirjanto},
editor = {Wolfgang Nejdl and
S\"{o}ren Auer and
Meeyoung Cha and
Marie-Francine Moens and
Marc Najork},
title = {{Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection}},
booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}},
pages = {98--106},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701551.3703494},
doi = {https://doi.org/10.1145/3701551.3703494}
}