图 书 馆
Microsoft的时间序列异常检测服务Time-Series Anomaly Detection Service at Microsoft |
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| 课程网址: | http://videolectures.net/kdd2019_ren_xu_wang/ |
| 主讲教师: | Hansheng Ren |
| 开课单位: | 微软研究院 |
| 开课时间: | 2020-03-02 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Large companies need to monitor various metrics (for example, Page Views and Revenue) of their applications and services in real time. At Microsoft, we develop a time-series anomaly detection service which helps customers to monitor the time-series continuously and alert for potential incidents on time. In this paper, we introduce the pipeline and algorithm of our anomaly detection service, which is designed to be accurate, efficient and general. 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). Our work is the first attempt to borrow the SR model from visual saliency detection domain to time-series anomaly detection. Moreover, we innovatively combine SR and CNN together to improve the performance of SR model. Our approach achieves superior experimental results compared with state-of-the-art baselines on both public datasets and Microsoft production data. |
| 关 键 词: | Microsoft; 时间序列异常; 异常检测服务 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-09-16：cyh |
| 最后编审: | 2022-09-19：cyh |
| 阅读次数: | 38 |