N41: Leveraging One Target and Neighboring Features to Improve Anomaly Detection Accuracy.

Won-Seok Hwang|Jeong-Han Yun|Byung-Gil Min


Anthology ID:DBLP:conf/wsdm/HwangYM26
Volume:Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026
Year:2026
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:1150-1154
URL:https://doi.org/10.1145/3773966.3779387
DOI:https://doi.org/10.1145/3773966.3779387
DBLP:conf/wsdm/HwangYM26
BibTeX:
@inproceedings{hwang-2026-n41, author = {Won-Seok Hwang and Jeong-Han Yun and Byung-Gil Min}, title = {{N41: Leveraging One Target and Neighboring Features to Improve Anomaly Detection Accuracy}}, booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}}, pages = {1150--1154}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3773966.3779387}, doi = {https://doi.org/10.1145/3773966.3779387} }