Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation.
Xuanhao Chen|Liwei Deng|Yan Zhao|Kai Zheng
| Anthology ID: | DBLP:conf/wsdm/ChenDZZ23 |
|---|---|
| Volume: | Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. |
| Year: | 2023 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 267-275 |
| URL: | https://doi.org/10.1145/3539597.3570371 |
| DOI: | https://doi.org/10.1145/3539597.3570371 |
| DBLP: | conf/wsdm/ChenDZZ23 |
| BibTeX: |
@inproceedings{chen-2023-adversarial,
author = {Xuanhao Chen and
Liwei Deng and
Yan Zhao and
Kai Zheng},
editor = {Tat-Seng Chua and
Hady Wirawan Lauw and
Luo Si and
Evimaria Terzi and
Panayiotis Tsaparas},
title = {{Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation}},
booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}},
pages = {267--275},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539597.3570371},
doi = {https://doi.org/10.1145/3539597.3570371}
}