Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures. Paparrizos, J., Liu, C., Elmore, A. J., & Franklin, M. J. In Maier, D., Pottinger, R., Doan, A., Tan, W., Alawini, A., & Ngo, H. Q., editors, Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020, pages 1887–1905, 2020. ACM.
Debunking Four Long-Standing Misconceptions of Time-Series Distance Measures [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/sigmod/PaparrizosLEF20,
  author       = {John Paparrizos and
                  Chunwei Liu and
                  Aaron J. Elmore and
                  Michael J. Franklin},
  editor       = {David Maier and
                  Rachel Pottinger and
                  AnHai Doan and
                  Wang{-}Chiew Tan and
                  Abdussalam Alawini and
                  Hung Q. Ngo},
  title        = {Debunking Four Long-Standing Misconceptions of Time-Series Distance
                  Measures},
  booktitle    = {Proceedings of the 2020 International Conference on Management of
                  Data, {SIGMOD} Conference 2020, online conference [Portland, OR, USA],
                  June 14-19, 2020},
  pages        = {1887--1905},
  publisher    = {{ACM}},
  year         = {2020},
  url          = {https://doi.org/10.1145/3318464.3389760},
  doi          = {10.1145/3318464.3389760},
  timestamp    = {Sun, 12 Nov 2023 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/sigmod/PaparrizosLEF20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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