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} }