A Framework for Detecting Frauds from Extremely Few Labels.
Ya-Lin Zhang|Yi-Xuan Sun|Fangfang Fan|Meng Li|Yeyu Zhao|Wei Wang|Longfei Li|Jun Zhou|Jinghua Feng
| Anthology ID: | DBLP:conf/wsdm/ZhangSFLZWLZF23 |
|---|---|
| Volume: | Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. |
| Year: | 2023 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1124-1127 |
| URL: | https://doi.org/10.1145/3539597.3573022 |
| DOI: | https://doi.org/10.1145/3539597.3573022 |
| DBLP: | conf/wsdm/ZhangSFLZWLZF23 |
| BibTeX: |
@inproceedings{zhang-2023-framework,
author = {Ya-Lin Zhang and
Yi-Xuan Sun and
Fangfang Fan and
Meng Li and
Yeyu Zhao and
Wei Wang and
Longfei Li and
Jun Zhou and
Jinghua Feng},
editor = {Tat-Seng Chua and
Hady Wirawan Lauw and
Luo Si and
Evimaria Terzi and
Panayiotis Tsaparas},
title = {{A Framework for Detecting Frauds from Extremely Few Labels}},
booktitle = {{Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023}},
pages = {1124--1127},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539597.3573022},
doi = {https://doi.org/10.1145/3539597.3573022}
}