Action Sequence Augmentation for Early Graph-based Anomaly Detection.
Tong Zhao|Bo Ni|Wenhao Yu|Zhichun Guo|Neil Shah|Meng Jiang
| Anthology ID: | DBLP:conf/cikm/0003NYGS021 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2668-2678 |
| URL: | https://doi.org/10.1145/3459637.3482313 |
| DOI: | https://doi.org/10.1145/3459637.3482313 |
| DBLP: | conf/cikm/0003NYGS021 |
| BibTeX: |
@inproceedings{zhao-2021-action,
author = {Tong Zhao and
Bo Ni and
Wenhao Yu and
Zhichun Guo and
Neil Shah and
Meng Jiang},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Action Sequence Augmentation for Early Graph-based Anomaly Detection}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {2668--2678},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482313},
doi = {https://doi.org/10.1145/3459637.3482313}
}