图 书 馆
高效的异常监测对象的运动轨迹的溪流Efficient Anomaly Monitoring Over Moving Object Trajectory Streams |
|
| 课程网址: | http://videolectures.net/kdd09_bu_eammots/ |
| 主讲教师: | Yingyi Bu |
| 开课单位: | 微软公司 |
| 开课时间: | 2009-09-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challenging due to the requirement of high speed data processing within limited space cost. In this paper, we present a novel framework for monitoring anomalies over continuous trajectory streams. First, we illustrate the importance of distance-based anomaly monitoring over moving object trajectories. Then, we utilize the local continuity characteristics of trajectories to build local clusters upon trajectory streams and monitor anomalies via efficient pruning strategies. Finally, we propose a piecewise metric index structure to reschedule the joining order of local clusters to further reduce the time cost. Our extensive experiments demonstrate the effectiveness and efficiency of our methods. |
| 关 键 词: | 监测轨迹流; 连续性特点; 剪枝策略监控异常 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-05-21：王淑红(课程编辑志愿者) |
| 阅读次数: | 144 |