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CodeLionX authored Nov 17, 2023
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<img width="130px" src="./timeeval-evaluation-paper.png" alt="TimeEval logo"/>
<h1 align="center">Anomaly Detection in Time Series: A Comprehensive Evaluation</h1>
<p>
Go to the <a href="https://hpi-information-systems.github.io/timeeval-evaluation-paper/" alt="website">website</a> for further information.
Go to the <a href="https://timeeval.github.io/evaluation-paper/" alt="website">website</a> for further information.
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Time series anomaly detection experimental evaluation paper supporting material and website.

## Related repositories

- Time series anomaly generator [GutenTAG](https://github.com/HPI-Information-Systems/gutentag)
- Evaluation tool [TimeEval](https://github.com/HPI-Information-Systems/TimeEval)
- Algorithm source code (and necessary docker images): [TimeEval-algorithms](https://github.com/HPI-Information-Systems/TimeEval-algorithms)
- 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://hpi-information-systems.github.io/timeeval-evaluation-paper/notebooks/Datasets.html).
For the datasets, go to the [datasets page](https://timeeval.github.io/evaluation-paper/notebooks/Datasets.html).

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