ClusterLog: Clustering Logs for Effeftxsctive Log-based Anomaly Detection

Chris Egersdoerfer, Di Zhang, Dong Dai 0001. ClusterLog: Clustering Logs for Effeftxsctive Log-based Anomaly Detection. In 12th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, FTXS@SC 2022, Dallas, TX, USA, November 13-18, 2022. pages 1-10, IEEE, 2022. [doi]

@inproceedings{EgersdoerferZD22,
  title = {ClusterLog: Clustering Logs for Effeftxsctive Log-based Anomaly Detection},
  author = {Chris Egersdoerfer and Di Zhang and Dong Dai 0001},
  year = {2022},
  doi = {10.1109/FTXS56515.2022.00006},
  url = {https://doi.org/10.1109/FTXS56515.2022.00006},
  researchr = {https://researchr.org/publication/EgersdoerferZD22},
  cites = {0},
  citedby = {0},
  pages = {1-10},
  booktitle = {12th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, FTXS@SC 2022, Dallas, TX, USA, November 13-18, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8847-1},
}