Suggestions on how to detect anomalies in around 200k time series, maybe with deep learning, maybe in a fast way?
9 views (last 30 days)
Eamonn on 18 Jun 2022
The DAMP algorithm (in Matlab) can do anomlay detecion at 100,000+ Hz
It is the only time series anomlay detecion algorthm to process a dataset with one trillion datapoints.
OH, and it beat deep learning on all the benchmarks.
It will be here https://www.cs.ucr.edu/~eamonn/MatrixProfile.html next week, but in the meantime, if you want the code/paper, I am happy to share it.
More Answers (1)
Image Analyst on 18 Jun 2022
Are you talking about training or prediction?
For what it's worth, here is another anomaly detection demo from Mathworks.
Learn how to apply statistical and machine learning based anomaly detection techniques to industrial processes and machinery.