Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling.
Won-Seok Hwang|Jeong-Han Yun|Jonguk Kim|HyoungChun Kim
| Anthology ID: | DBLP:conf/cikm/HwangYKK19 |
|---|---|
| Volume: | Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019. |
| Year: | 2019 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2241-2244 |
| URL: | https://doi.org/10.1145/3357384.3358118 |
| DOI: | https://doi.org/10.1145/3357384.3358118 |
| DBLP: | conf/cikm/HwangYKK19 |
| BibTeX: |
@inproceedings{hwang-2019-timeseries,
author = {Won-Seok Hwang and
Jeong-Han Yun and
Jonguk Kim and
HyoungChun Kim},
editor = {Wenwu Zhu and
Dacheng Tao and
Xueqi Cheng and
Peng Cui and
Elke A. Rundensteiner and
David Carmel and
Qi He and
Jeffrey Xu Yu},
title = {{Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling}},
booktitle = {{Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019}},
pages = {2241--2244},
publisher = {ACM},
year = {2019},
url = {https://doi.org/10.1145/3357384.3358118},
doi = {https://doi.org/10.1145/3357384.3358118}
}