AL_Repo.zip

URL: https://opendata.eawag.ch/dataset/5849598c-42cf-4d69-93bd-3b0cc5fb6aa8/resource/2ba15e33-30fb-4d37-a407-547f6982d957/download/al_repo.zip

From the dataset abstract

This package contains the data and code necessary to run the Active Learning experiments for Anomaly detection. The dataset used for this study is a timeseries data in high spatiotemporal...

Source: Data for: Active Learning for Anomaly Detection in Environmental data

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Additional Information

Last updated May 25, 2020
Created May 25, 2020
Format application/zip
Size 27.2 MB
Resource Type Collection
Hash 3c0fdc52a5d501d11afdd89e464f0bf794eaa409d3d5a958f6513bb6c94592b1
Hashtype sha256