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

12 Feb 2018Haowen XuWenxiao ChenNengwen ZhaoZeyan LiJiahao BuZhihan LiYing LiuYoujian ZhaoDan PeiYang FengJie ChenZhaogang WangHonglin Qiao

To ensure undisrupted business, large Internet companies need to closely monitor various KPIs (e.g., Page Views, number of online users, and number of orders) of its Web applications, to accurately detect anomalies and trigger timely troubleshooting/mitigation. However, anomaly detection for these seasonal KPIs with various patterns and data quality has been a great challenge, especially without labels... (read more)

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