ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems.
Youjin Shin|Sangyup Lee|Shahroz Tariq|Myeong Shin Lee|Okchul Jung|Daewon Chung|Simon S. Woo
| Anthology ID: | DBLP:conf/cikm/ShinLTLJCW20 |
|---|---|
| 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: | 2733-2740 |
| URL: | https://doi.org/10.1145/3340531.3412716 |
| DOI: | https://doi.org/10.1145/3340531.3412716 |
| DBLP: | conf/cikm/ShinLTLJCW20 |
| BibTeX: |
@inproceedings{shin-2020-itad,
author = {Youjin Shin and
Sangyup Lee and
Shahroz Tariq and
Myeong Shin Lee and
Okchul Jung and
Daewon Chung and
Simon S. Woo},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {2733--2740},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3412716},
doi = {https://doi.org/10.1145/3340531.3412716}
}