OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly Detection.
Haolong Xiang|Zoran Salcic|Wanchun Dou|Xiaolong Xu|Lianyong Qi|Xuyun Zhang
| Anthology ID: | DBLP:conf/cikm/XiangSDXQZ20 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1655-1664 |
| URL: | https://doi.org/10.1145/3340531.3411988 |
| DOI: | https://doi.org/10.1145/3340531.3411988 |
| DBLP: | conf/cikm/XiangSDXQZ20 |
| BibTeX: |
@inproceedings{xiang-2020-ophiforest,
author = {Haolong Xiang and
Zoran Salcic and
Wanchun Dou and
Xiaolong Xu and
Lianyong Qi and
Xuyun Zhang},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly Detection}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {1655--1664},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3411988},
doi = {https://doi.org/10.1145/3340531.3411988}
}