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} }