Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting.
Yue Cui|Jiandong Xie|Kai Zheng
| Anthology ID: | DBLP:conf/cikm/CuiX021 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2965-2969 |
| URL: | https://doi.org/10.1145/3459637.3482120 |
| DOI: | https://doi.org/10.1145/3459637.3482120 |
| DBLP: | conf/cikm/CuiX021 |
| BibTeX: |
@inproceedings{cui-2021-historical,
author = {Yue Cui and
Jiandong Xie and
Kai Zheng},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {2965--2969},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482120},
doi = {https://doi.org/10.1145/3459637.3482120}
}