F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams.
Yen-Yu Chang|Pan Li|Rok Sosic|M. H. Afifi|Marco Schweighauser|Jure Leskovec
| Anthology ID: | DBLP:conf/wsdm/Chang0SASL21 |
|---|---|
| Volume: | WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 |
| Year: | 2021 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 589-597 |
| URL: | https://doi.org/10.1145/3437963.3441806 |
| DOI: | https://doi.org/10.1145/3437963.3441806 |
| DBLP: | conf/wsdm/Chang0SASL21 |
| BibTeX: |
@inproceedings{chang-2021-ffade,
author = {Yen-Yu Chang and
Pan Li and
Rok Sosic and
M. H. Afifi and
Marco Schweighauser and
Jure Leskovec},
editor = {Liane Lewin-Eytan and
David Carmel and
Elad Yom-Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams}},
booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}},
pages = {589--597},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441806},
doi = {https://doi.org/10.1145/3437963.3441806}
}