Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution. Günnemann, S., Günnemann, N., & Faloutsos, C. In Macskassy, S. A., Perlich, C., Leskovec, J., Wang, W., & Ghani, R., editors, The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014, pages 841–850, 2014. ACM.
Paper doi bibtex @inproceedings{DBLP:conf/kdd/GunnemannGF14,
author = {Stephan G{\"{u}}nnemann and
Nikou G{\"{u}}nnemann and
Christos Faloutsos},
editor = {Sofus A. Macskassy and
Claudia Perlich and
Jure Leskovec and
Wei Wang and
Rayid Ghani},
title = {Detecting anomalies in dynamic rating data: a robust probabilistic
model for rating evolution},
booktitle = {The 20th {ACM} {SIGKDD} International Conference on Knowledge Discovery
and Data Mining, {KDD} '14, New York, NY, {USA} - August 24 - 27,
2014},
pages = {841--850},
publisher = {{ACM}},
year = {2014},
url = {https://doi.org/10.1145/2623330.2623721},
doi = {10.1145/2623330.2623721},
timestamp = {Sun, 02 Jun 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/kdd/GunnemannGF14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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