A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data

Mohsin Munir, Muhammad Ali Chattha, Andreas Dengel 0001, Sheraz Ahmed. A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data. In M. Arif Wani, Taghi M. Khoshgoftaar, Dingding Wang 0001, Huanjing Wang, Naeem Seliya, editors, 18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019. pages 561-566, IEEE, 2019. [doi]

@inproceedings{MunirCDA19,
  title = {A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data},
  author = {Mohsin Munir and Muhammad Ali Chattha and Andreas Dengel 0001 and Sheraz Ahmed},
  year = {2019},
  doi = {10.1109/ICMLA.2019.00105},
  url = {https://doi.org/10.1109/ICMLA.2019.00105},
  researchr = {https://researchr.org/publication/MunirCDA19},
  cites = {0},
  citedby = {0},
  pages = {561-566},
  booktitle = {18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019},
  editor = {M. Arif Wani and Taghi M. Khoshgoftaar and Dingding Wang 0001 and Huanjing Wang and Naeem Seliya},
  publisher = {IEEE},
  isbn = {978-1-7281-4550-1},
}