Forecasting Big Time Series: Theory and Practice. Faloutsos, C.; Flunkert, V.; Gasthaus, J.; Januschowski, T.; and Wang, Y. In Teredesai, A.; Kumar, V.; Li, Y.; Rosales, R.; Terzi, E.; and Karypis, G., editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019, pages 3209–3210, 2019. ACM.
Paper doi bibtex @inproceedings{DBLP:conf/kdd/FaloutsosFGJW19,
author = {Christos Faloutsos and
Valentin Flunkert and
Jan Gasthaus and
Tim Januschowski and
Yuyang Wang},
editor = {Ankur Teredesai and
Vipin Kumar and
Ying Li and
R{\'{o}}mer Rosales and
Evimaria Terzi and
George Karypis},
title = {Forecasting Big Time Series: Theory and Practice},
booktitle = {Proceedings of the 25th {ACM} {SIGKDD} International Conference on
Knowledge Discovery {\&} Data Mining, {KDD} 2019, Anchorage, AK, USA,
August 4-8, 2019},
pages = {3209--3210},
publisher = {{ACM}},
year = {2019},
url = {https://doi.org/10.1145/3292500.3332289},
doi = {10.1145/3292500.3332289},
timestamp = {Sun, 28 Jul 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/kdd/FaloutsosFGJW19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}