LRZ Convolution: An Algorithm for Automatic Anomaly Detection in Time-series Data

Arunprasad P. Marathe. LRZ Convolution: An Algorithm for Automatic Anomaly Detection in Time-series Data. In Elaheh Pourabbas, Dimitris Sacharidis, Kurt Stockinger, Thanasis Vergoulis, editors, SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management, Vienna, Austria, July 7-9, 2020. ACM, 2020. [doi]

@inproceedings{Marathe20-0,
  title = {LRZ Convolution: An Algorithm for Automatic Anomaly Detection in Time-series Data},
  author = {Arunprasad P. Marathe},
  year = {2020},
  doi = {10.1145/3400903.3400904},
  url = {https://doi.org/10.1145/3400903.3400904},
  researchr = {https://researchr.org/publication/Marathe20-0},
  cites = {0},
  citedby = {0},
  booktitle = {SSDBM 2020: 32nd International Conference on Scientific and Statistical Database Management, Vienna, Austria, July 7-9, 2020},
  editor = {Elaheh Pourabbas and Dimitris Sacharidis and Kurt Stockinger and Thanasis Vergoulis},
  publisher = {ACM},
  isbn = {978-1-4503-8814-6},
}