A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications

Usman Ahmad Usmani, Ari Happonen, Junzo Watada. A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications. In Kohei Arai, editor, Intelligent Computing - Proceedings of the 2022 Computing Conference, Volume 2, SAI 2022, Virtual Event, 14-15 July 2022. Volume 507 of Lecture Notes in Networks and Systems, pages 158-189, Springer, 2022. [doi]

@inproceedings{UsmaniHW22a,
  title = {A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications},
  author = {Usman Ahmad Usmani and Ari Happonen and Junzo Watada},
  year = {2022},
  doi = {10.1007/978-3-031-10464-0_11},
  url = {https://doi.org/10.1007/978-3-031-10464-0_11},
  researchr = {https://researchr.org/publication/UsmaniHW22a},
  cites = {0},
  citedby = {0},
  pages = {158-189},
  booktitle = {Intelligent Computing - Proceedings of the 2022 Computing Conference, Volume 2, SAI 2022, Virtual Event, 14-15 July 2022},
  editor = {Kohei Arai},
  volume = {507},
  series = {Lecture Notes in Networks and Systems},
  publisher = {Springer},
  isbn = {978-3-031-10464-0},
}