Classical and Contemporary Approaches to Big Time Series Forecasting. Faloutsos, C., Gasthaus, J., Januschowski, T., & Wang, Y. In Boncz, P. A., Manegold, S., Ailamaki, A., Deshpande, A., & 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.
Classical and Contemporary Approaches to Big Time Series Forecasting [link]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    = {Thu, 28 Jul 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/sigmod/FaloutsosGJW19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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