Deep Learning for Anomaly Detection.
Ruoying Wang|Kexin Nie|Tie Wang|Yang Yang|Bo Long
| Anthology ID: | DBLP:conf/wsdm/WangNWYL20 |
|---|---|
| Volume: | WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020 |
| Year: | 2020 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 894-896 |
| URL: | https://doi.org/10.1145/3336191.3371876 |
| DOI: | https://doi.org/10.1145/3336191.3371876 |
| DBLP: | conf/wsdm/WangNWYL20 |
| BibTeX: |
@inproceedings{wang-2020-deep,
author = {Ruoying Wang and
Kexin Nie and
Tie Wang and
Yang Yang and
Bo Long},
editor = {James Caverlee and
Xia Ben Hu and
Mounia Lalmas-Roelleke and
Wei Wang},
title = {{Deep Learning for Anomaly Detection}},
booktitle = {{WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020}},
pages = {894--896},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3336191.3371876},
doi = {https://doi.org/10.1145/3336191.3371876}
}