Classical and Contemporary Approaches to Big Time Series Forecasting. Faloutsos, C.; Gasthaus, J.; Januschowski, T.; and Wang, Y. In Boncz, P. A.; Manegold, S.; Ailamaki, A.; Deshpande, A.; and Kraska, T., editors, Proceedings of the 2019 International Conference on Management of Data, SIGMOD Conference 2019, Amsterdam, The Netherlands, June 30 - July 5, 2019, pages 2042–2047, 2019. ACM.
Paper doi bibtex @inproceedings{DBLP:conf/sigmod/FaloutsosGJW19,
author = {Christos Faloutsos and
Jan Gasthaus and
Tim Januschowski and
Yuyang Wang},
editor = {Peter A. Boncz and
Stefan Manegold and
Anastasia Ailamaki and
Amol Deshpande and
Tim Kraska},
title = {Classical and Contemporary Approaches to Big Time Series Forecasting},
booktitle = {Proceedings of the 2019 International Conference on Management of
Data, {SIGMOD} Conference 2019, Amsterdam, The Netherlands, June 30
- July 5, 2019},
pages = {2042--2047},
publisher = {{ACM}},
year = {2019},
url = {https://doi.org/10.1145/3299869.3314033},
doi = {10.1145/3299869.3314033},
timestamp = {Sat, 22 Jun 2019 17:10:04 +0200},
biburl = {https://dblp.org/rec/conf/sigmod/FaloutsosGJW19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}