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 = {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}
}

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