MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation.
Zekun Cai|Renhe Jiang|Xinyu Yang|Zhaonan Wang|Diansheng Guo|Hill Hiroki Kobayashi|Xuan Song|Ryosuke Shibasaki
| Anthology ID: | DBLP:conf/cikm/CaiJY0GK0S23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 193-202 |
| URL: | https://doi.org/10.1145/3583780.3614962 |
| DOI: | https://doi.org/10.1145/3583780.3614962 |
| DBLP: | conf/cikm/CaiJY0GK0S23 |
| BibTeX: |
@inproceedings{cai-2023-memda,
author = {Zekun Cai and
Renhe Jiang and
Xinyu Yang and
Zhaonan Wang and
Diansheng Guo and
Hill Hiroki Kobayashi and
Xuan Song and
Ryosuke Shibasaki},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {193--202},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614962},
doi = {https://doi.org/10.1145/3583780.3614962}
}