AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios.
Jianping Wei|Zhibo Zhu|Ziqi Liu|Zhiqiang Zhang|Jun Zhou
| Anthology ID: | DBLP:conf/wsdm/WeiZLZZ23 |
|---|---|
| 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: | 1192-1195 |
| URL: | https://doi.org/10.1145/3539597.3573030 |
| DOI: | https://doi.org/10.1145/3539597.3573030 |
| DBLP: | conf/wsdm/WeiZLZZ23 |
| BibTeX: |
@inproceedings{wei-2023-antts,
author = {Jianping Wei and
Zhibo Zhu and
Ziqi Liu and
Zhiqiang Zhang and
Jun Zhou},
editor = {Tat-Seng Chua and
Hady Wirawan Lauw and
Luo Si and
Evimaria Terzi and
Panayiotis Tsaparas},
title = {{AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios}},
booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}},
pages = {1192--1195},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539597.3573030},
doi = {https://doi.org/10.1145/3539597.3573030}
}