David Muhr, Michael Affenzeller. Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark. In Robert Wrembel, Johann Gamper, Gabriele Kotsis, A Min Tjoa, Ismail Khalil, editors, Big Data Analytics and Knowledge Discovery - 24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, Proceedings. Volume 13428 of Lecture Notes in Computer Science, pages 163-169, Springer, 2022. [doi]
@inproceedings{MuhrA22-0,
title = {Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark},
author = {David Muhr and Michael Affenzeller},
year = {2022},
doi = {10.1007/978-3-031-12670-3_14},
url = {https://doi.org/10.1007/978-3-031-12670-3_14},
researchr = {https://researchr.org/publication/MuhrA22-0},
cites = {0},
citedby = {0},
pages = {163-169},
booktitle = {Big Data Analytics and Knowledge Discovery - 24th International Conference, DaWaK 2022, Vienna, Austria, August 22-24, 2022, Proceedings},
editor = {Robert Wrembel and Johann Gamper and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
volume = {13428},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-12670-3},
}