Analytical Techniques for Anomaly Detection Through Features, Signal-Noise Separation and Partial-Value Association

Nong Ye. Analytical Techniques for Anomaly Detection Through Features, Signal-Noise Separation and Partial-Value Association. In Archana Anandakrishnan, Senthil Kumar, Alexander R. Statnikov, Tanveer A. Faruquie, Di Xu, editors, Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, ADF@KDD 2017, Halifax, Nova Scotia, Canada, August 14, 2017. Volume 71 of Proceedings of Machine Learning Research, pages 20-32, PMLR, 2017. [doi]

@inproceedings{Ye17-17,
  title = {Analytical Techniques for Anomaly Detection Through Features, Signal-Noise Separation and Partial-Value Association},
  author = {Nong Ye},
  year = {2017},
  url = {http://proceedings.mlr.press/v71/ye18a.html},
  researchr = {https://researchr.org/publication/Ye17-17},
  cites = {0},
  citedby = {0},
  pages = {20-32},
  booktitle = {Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, ADF@KDD 2017, Halifax, Nova Scotia, Canada, August 14, 2017},
  editor = {Archana Anandakrishnan and Senthil Kumar and Alexander R. Statnikov and Tanveer A. Faruquie and Di Xu},
  volume = {71},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}