TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. Cazzolato, M. T., Vijayakumar, S., Zheng, X., Park, N., Lee, M., Fidalgo, P., Lages, B., Traina, A. J. M., & Faloutsos, C. In Tsumoto, S., Ohsawa, Y., Chen, L., den Poel, D. V., Hu, X., Motomura, Y., Takagi, T., Wu, L., Xie, Y., Abe, A., & Raghavan, V., editors, IEEE International Conference on Big Data, Big Data 2022, Osaka, Japan, December 17-20, 2022, pages 2214–2217, 2022. IEEE.
Paper doi bibtex @inproceedings{DBLP:conf/bigdataconf/CazzolatoVZPLFLTF22,
author = {Mirela T. Cazzolato and
Saranya Vijayakumar and
Xinyi Zheng and
Namyong Park and
Meng{-}Chieh Lee and
Pedro Fidalgo and
Bruno Lages and
Agma J. M. Traina and
Christos Faloutsos},
editor = {Shusaku Tsumoto and
Yukio Ohsawa and
Lei Chen and
Dirk Van den Poel and
Xiaohua Hu and
Yoichi Motomura and
Takuya Takagi and
Lingfei Wu and
Ying Xie and
Akihiro Abe and
Vijay Raghavan},
title = {TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving
Graphs},
booktitle = {{IEEE} International Conference on Big Data, Big Data 2022, Osaka,
Japan, December 17-20, 2022},
pages = {2214--2217},
publisher = {{IEEE}},
year = {2022},
url = {https://doi.org/10.1109/BigData55660.2022.10020898},
doi = {10.1109/BIGDATA55660.2022.10020898},
timestamp = {Thu, 20 Mar 2025 21:08:37 +0100},
biburl = {https://dblp.org/rec/conf/bigdataconf/CazzolatoVZPLFLTF22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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