The CESNET-TimeSeries24 dataset is available in Zenodo platform https://zenodo.org/record/13382427
As example of processing of three dataset parts, we prepare the SARIMA retraining Python module with BASH scripts which process all time series in datasets parts using qsub (prepared for running on metacentrum servers).
The example of evalution of SARIMA model is available in file analyze-results.ipynb
Josef Koumar, Karel Hynek, Tomáš Čejka, Pavel Šiška, "CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting", arXiv e-prints (2024): https://arxiv.org/abs/2409.18874
@misc{koumar2024cesnettimeseries24timeseriesdataset,
title={CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting},
author={Josef Koumar and Karel Hynek and Tomáš Čejka and Pavel Šiška},
year={2024},
eprint={2409.18874},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2409.18874},
}
Josef Koumar, Karel Hynek, Pavel Šiška & Tomáš Čejka. (2024). CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting [Data set]. Zenodo. https://doi.org/10.5281/zenodo.13382427
@dataset{koumar_2024_13382427,
author = {Koumar, Josef and
Hynek, Karel and
Čejka, Tomáš and
Šiška, Pavel},
title = {{CESNET-TimeSeries24: Time Series Dataset for
Network Traffic Anomaly Detection and Forecasting}},
month = aug,
year = 2024,
publisher = {Zenodo},
doi = {10.5281/zenodo.13382427},
url = {https://doi.org/10.5281/zenodo.13382427}
}