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}
}