Branch and Border: Partition-Based Change Detection in Multivariate Time Series

Branch and Border: Partition-Based Change Detection in Multivariate Time Series. Hooi, B. & Faloutsos, C. In Berger-Wolf, T. Y. & Chawla, N. V., editors, Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019, Calgary, Alberta, Canada, May 2-4, 2019, pages 504–512, 2019. SIAM.

Paper doi bibtex

@inproceedings{DBLP:conf/sdm/HooiF19,
  author       = {Bryan Hooi and
                  Christos Faloutsos},
  editor       = {Tanya Y. Berger{-}Wolf and
                  Nitesh V. Chawla},
  title        = {Branch and Border: Partition-Based Change Detection in Multivariate
                  Time Series},
  booktitle    = {Proceedings of the 2019 {SIAM} International Conference on Data Mining,
                  {SDM} 2019, Calgary, Alberta, Canada, May 2-4, 2019},
  pages        = {504--512},
  publisher    = {{SIAM}},
  year         = {2019},
  url          = {https://doi.org/10.1137/1.9781611975673.57},
  doi          = {10.1137/1.9781611975673.57},
  timestamp    = {Fri, 04 Oct 2019 16:53:59 +0200},
  biburl       = {https://dblp.org/rec/conf/sdm/HooiF19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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