Time-Series Anomaly Detection Service at Microsoft

@article{Ren2019TimeSeriesAD,
  title={Time-Series Anomaly Detection Service at Microsoft},
  author={Hansheng Ren and Bixiong Xu and Yujing Wang and Chao Yi and Congrui Huang and Xiaoyu Kou and Tony Xing and Mao Yang and Jie Tong and Qiang Zhang},
  journal={Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining},
  year={2019}
}
  • Hansheng Ren, Bixiong Xu, +7 authors Qiang Zhang
  • Published 2019
  • Computer Science, Mathematics
  • Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
  • Large companies need to monitor various metrics (for example, Page Views and Revenue) of their applications and services in real time. [...] Key Method The pipeline consists of three major modules, including data ingestion, experimentation platform and online compute. To tackle the problem of time-series anomaly detection, we propose a novel algorithm based on Spectral Residual (SR) and Convolutional Neural Network (CNN).Expand Abstract

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