[R] Announcing DAMP 2.0: Allowing SOTA Anomaly Detection in Massive Time Series Datasets

Dear Colleagues

We are happy to announce the release of DAMP 2.0 \[a\]. DAMP (Discord Aware Matrix Profile) is an anomaly detection framework that allows you to search datasets with millions or billions of datapoints, all on a conventional machine \[b\].

We are not normally so vainglorious as to announce the publication of  a paper, however:

1) The code comes bundled with some great new anomaly detection datasets, and there is a real dearth of good datasets in the community …

anomaly anomaly detection datasets detection machinelearning massive series sota time time series