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} }