A Divide-and-Conquer-based Early Classification Approach for Multivariate Time Series with Different Sampling Rate Components in IoT. Gupta, A., Gupta, H. P., Biswas, B., & Dutta, T. ACM Trans. Internet Things, 1(2):10:1-10:21, 2020.
A Divide-and-Conquer-based Early Classification Approach for Multivariate Time Series with Different Sampling Rate Components in IoT. [link]Link  A Divide-and-Conquer-based Early Classification Approach for Multivariate Time Series with Different Sampling Rate Components in IoT. [link]Paper  bibtex   
@article{journals/tiot/GuptaGBD20,
  added-at = {2022-01-08T00:00:00.000+0100},
  author = {Gupta, Ashish and Gupta, Hari Prabhat and Biswas, Bhaskar and Dutta, Tanima},
  biburl = {https://www.bibsonomy.org/bibtex/2304534dba25bdf606ab706db0baac704/dblp},
  ee = {https://doi.org/10.1145/3375877},
  interhash = {3e9eb30e9a971bd83f0e46ca67c82ce6},
  intrahash = {304534dba25bdf606ab706db0baac704},
  journal = {ACM Trans. Internet Things},
  keywords = {dblp},
  number = 2,
  pages = {10:1-10:21},
  timestamp = {2024-04-08T12:31:14.000+0200},
  title = {A Divide-and-Conquer-based Early Classification Approach for Multivariate Time Series with Different Sampling Rate Components in IoT.},
  url = {http://dblp.uni-trier.de/db/journals/tiot/tiot1.html#GuptaGBD20},
  volume = 1,
  year = 2020
}

Downloads: 0