OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox

Cite

Text

Theissler et al. "OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019. doi:10.1007/978-3-030-46133-1_47

Markdown

[Theissler et al. "OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2019.](https://mlanthology.org/ecmlpkdd/2019/theissler2019ecmlpkdd-ocadami/) doi:10.1007/978-3-030-46133-1_47

BibTeX

@inproceedings{theissler2019ecmlpkdd-ocadami,
  title     = {{OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox}},
  author    = {Theissler, Andreas and Frey, Stephan and Ehlert, Jens},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2019},
  pages     = {764-768},
  doi       = {10.1007/978-3-030-46133-1_47},
  url       = {https://mlanthology.org/ecmlpkdd/2019/theissler2019ecmlpkdd-ocadami/}
}