https://github.com/timeeval/evaluation-paper
Supporting material and website for the paper "Anomaly Detection in Time Series: A Comprehensive Evaluation"
https://github.com/timeeval/evaluation-paper
evaluation paper time-series time-series-anomaly-detection
Last synced: 5 months ago
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Supporting material and website for the paper "Anomaly Detection in Time Series: A Comprehensive Evaluation"
- Host: GitHub
- URL: https://github.com/timeeval/evaluation-paper
- Owner: TimeEval
- License: mit
- Created: 2021-12-17T15:27:22.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2024-04-04T06:59:19.000Z (about 2 years ago)
- Last Synced: 2025-09-04T19:39:40.683Z (9 months ago)
- Topics: evaluation, paper, time-series, time-series-anomaly-detection
- Homepage: https://timeeval.github.io/evaluation-paper/
- Size: 14.7 MB
- Stars: 85
- Watchers: 7
- Forks: 8
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
Awesome Lists containing this project
README
Anomaly Detection in Time Series: A Comprehensive Evaluation
Go to the website for further information.
Time series anomaly detection experimental evaluation paper supporting material and website.
## Related repositories
- Time series anomaly generator [GutenTAG](https://github.com/timeeval/gutentag)
- Evaluation tool [TimeEval](https://github.com/timeeval/timeeval)
- Algorithm source code (and necessary docker images): [TimeEval-algorithms](https://github.com/timeeval/timeeval-algorithms)
For the datasets, go to the [datasets page](https://timeeval.github.io/evaluation-paper/notebooks/Datasets.html).