A Scalable Approach to Time Series Anomaly Detection & Failure Analysis for Industrial Systems

S. M. Azharul Karim, Nitin Ranjan, Darshit Shah. A Scalable Approach to Time Series Anomaly Detection & Failure Analysis for Industrial Systems. In 10th Annual Computing and Communication Workshop and Conference, CCWC 2020, Las Vegas, NV, USA, January 6-8, 2020. pages 678-683, IEEE, 2020. [doi]

@inproceedings{KarimRS20,
  title = {A Scalable Approach to Time Series Anomaly Detection & Failure Analysis for Industrial Systems},
  author = {S. M. Azharul Karim and Nitin Ranjan and Darshit Shah},
  year = {2020},
  doi = {10.1109/CCWC47524.2020.9031262},
  url = {https://doi.org/10.1109/CCWC47524.2020.9031262},
  researchr = {https://researchr.org/publication/KarimRS20},
  cites = {0},
  citedby = {0},
  pages = {678-683},
  booktitle = {10th Annual Computing and Communication Workshop and Conference, CCWC 2020, Las Vegas, NV, USA, January 6-8, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-3783-4},
}