Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis

Doyup Lee. Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis. In Xuewen Chen, Bo Luo, Feng Luo, Vasile Palade, M. Arif Wani, editors, 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, Cancun, Mexico, December 18-21, 2017. pages 412-419, IEEE, 2017. [doi]

@inproceedings{Lee17-94,
  title = {Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis},
  author = {Doyup Lee},
  year = {2017},
  doi = {10.1109/ICMLA.2017.0-126},
  url = {https://doi.org/10.1109/ICMLA.2017.0-126},
  researchr = {https://researchr.org/publication/Lee17-94},
  cites = {0},
  citedby = {0},
  pages = {412-419},
  booktitle = {16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, Cancun, Mexico, December 18-21, 2017},
  editor = {Xuewen Chen and Bo Luo and Feng Luo and Vasile Palade and M. Arif Wani},
  publisher = {IEEE},
  isbn = {978-1-5386-1418-1},
}