Anna Sapienza, André Panisson, Joseph Wu, Laetitia Gauvin, Ciro Cattuto. Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach. In Ahlame Douzal Chouakria, José A. Vilar Fernández, Pierre-François Marteau, Elizabeth Ann Maharaj, Andrés M. Alonso Fernández, Edoardo Otranto, Maria-Irina Nicolae, editors, Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2015, co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, September 11, 2015. Volume 1425 of CEUR Workshop Proceedings, CEUR-WS.org, 2015. [doi]
@inproceedings{SapienzaPWGC15,
title = {Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach},
author = {Anna Sapienza and André Panisson and Joseph Wu and Laetitia Gauvin and Ciro Cattuto},
year = {2015},
url = {http://ceur-ws.org/Vol-1425/paper16.pdf},
researchr = {https://researchr.org/publication/SapienzaPWGC15},
cites = {0},
citedby = {0},
booktitle = {Proceedings of the 1st International Workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2015, co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), Porto, Portugal, September 11, 2015},
editor = {Ahlame Douzal Chouakria and José A. Vilar Fernández and Pierre-François Marteau and Elizabeth Ann Maharaj and Andrés M. Alonso Fernández and Edoardo Otranto and Maria-Irina Nicolae},
volume = {1425},
series = {CEUR Workshop Proceedings},
publisher = {CEUR-WS.org},
}