An LSTM Encoder-Decoder Approach for Unsupervised Online Anomaly Detection in Machine Learning Packages for Streaming Data

Nabil Belacel, René Richard, Zhicheng Max Xu. An LSTM Encoder-Decoder Approach for Unsupervised Online Anomaly Detection in Machine Learning Packages for Streaming Data. In Shusaku Tsumoto, Yukio Ohsawa, Lei Chen 0002, Dirk Van den Poel, Xiaohua Hu 0001, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan 0001, editors, IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022. pages 3348-3357, IEEE, 2022. [doi]

@inproceedings{BelacelRX22,
  title = {An LSTM Encoder-Decoder Approach for Unsupervised Online Anomaly Detection in Machine Learning Packages for Streaming Data},
  author = {Nabil Belacel and René Richard and Zhicheng Max Xu},
  year = {2022},
  doi = {10.1109/BigData55660.2022.10020872},
  url = {https://doi.org/10.1109/BigData55660.2022.10020872},
  researchr = {https://researchr.org/publication/BelacelRX22},
  cites = {0},
  citedby = {0},
  pages = {3348-3357},
  booktitle = {IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022},
  editor = {Shusaku Tsumoto and Yukio Ohsawa and Lei Chen 0002 and Dirk Van den Poel and Xiaohua Hu 0001 and Yoichi Motomura and Takuya Takagi and Lingfei Wu and Ying Xie and Akihiro Abe and Vijay Raghavan 0001},
  publisher = {IEEE},
  isbn = {978-1-6654-8045-1},
}