Scripts and utility programs for implementing the USAD architecture.
Implementation by: Francesco Galati.
Additional contributions: Julien Audibert, Maria A. Zuluaga.
If you use this software, please cite the following paper as appropriate:
Audibert, J., Michiardi, P., Guyard, F., Marti, S., Zuluaga, M. A. (2020).
USAD : UnSupervised Anomaly Detection on multivariate time series.
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 23-27, 2020
All the python classes and functions strictly needed to implement the USAD architecture can be found in usad.py
.
An example of an application deployed with the SWaT dataset is included in USAD.ipynb
.
Copyright 2020 Eurecom.
This software is released under the BSD-3 license. Please see the license file_ for details.
Audibert et al. USAD : UnSupervised Anomaly Detection on multivariate time series. 2020