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} }