Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data

He et al. "Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021. doi:10.1007/978-3-030-86514-6_2

[He et al. "Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021.](https://mlanthology.org/ecmlpkdd/2021/he2021ecmlpkdd-mining/) doi:10.1007/978-3-030-86514-6_2

@inproceedings{he2021ecmlpkdd-mining,
  title     = {{Mining Anomalies in Subspaces of High-Dimensional Time Series for Financial Transactional Data}},
  author    = {He, Jingzhu and Yeh, Chin-Chia Michael and Wu, Yanhong and Wang, Liang and Zhang, Wei},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2021},
  pages     = {19-36},
  doi       = {10.1007/978-3-030-86514-6_2},
  url       = {https://mlanthology.org/ecmlpkdd/2021/he2021ecmlpkdd-mining/}
}