Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications.

@inproceedings{xu-2018-unsupervised, author = {Haowen Xu and Wenxiao Chen and Nengwen Zhao and Zeyan Li and Jiahao Bu and Zhihan Li and Ying Liu and Youjian Zhao and Dan Pei and Yang Feng and Jie Chen and Zhaogang Wang and Honglin Qiao}, editor = {Pierre-Antoine Champin and Fabien Gandon and Mounia Lalmas-Roelleke and Panagiotis G. Ipeirotis}, title = {{Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications}}, booktitle = {{Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018}}, pages = {187--196}, publisher = {ACM}, year = {2018}, url = {https://doi.org/10.1145/3178876.3185996}, doi = {https://doi.org/10.1145/3178876.3185996} }