图 书 馆
FSADA，一种异常检测方法FSADA, an anomaly detection approach |
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| 课程网址: | http://videolectures.net/sikdd2018_jovanoski_anomaly_detection_ap... |
| 主讲教师: | Viktor Jovanoski |
| 开课单位: | Jožef Stefan研究所智能系统系 |
| 开课时间: | 2018-11-22 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | inter-connected, spanning over a range of computing devices. As software systems are being split into modules and services, coupled with an increasing parallelization, detecting and managing anomalies in such environments is hard. In practice, certain localized areas and subsystems provide strong monitoring support, but cross-system error-correlation, root-cause analysis and prediction are an elusive target. We propose a general approach to what we call Full-spectrum anomaly detection - an architecture that is able to detect local anomalies on data from various sources as well as creating high-level alerts utilizing background knowledge, historical data and forecast models. The methodology can be implemented either completely or partially. |
| 关 键 词: | 跨一系列计算设备; 软件系统被分割成模块; 局部异常以及利用; 预测模型创建高级警报 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-12-29：cyh |
| 最后编审: | 2023-05-15：cyh |
| 阅读次数: | 31 |