Fraud Detection under Multi-Sourced Extremely Noisy Annotations.
Chuang Zhang|Qizhou Wang|Tengfei Liu|Xun Lu|Jin Hong|Bo Han|Chen Gong
| Anthology ID: | DBLP:conf/cikm/ZhangWLLH0021 |
|---|---|
| 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: | 2497-2506 |
| URL: | https://doi.org/10.1145/3459637.3482433 |
| DOI: | https://doi.org/10.1145/3459637.3482433 |
| DBLP: | conf/cikm/ZhangWLLH0021 |
| BibTeX: |
@inproceedings{zhang-2021-fraud,
author = {Chuang Zhang and
Qizhou Wang and
Tengfei Liu and
Xun Lu and
Jin Hong and
Bo Han and
Chen Gong},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Fraud Detection under Multi-Sourced Extremely Noisy Annotations}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {2497--2506},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482433},
doi = {https://doi.org/10.1145/3459637.3482433}
}