Outlier Detection of Network-Constrained Uncertain Trajectories
The trajectories outlier detection algorithm has received more and more many attentions, while outlier detection of Network-constrained uncertain trajectories is a new research direction. Since trajectories data is usually inherent uncertainty and large in size, the trajectories anomaly detection algorithm must address uncertainty and improve storage efficient. Using sketch technology to compress uncertain data size and reducing the number of adjacent sections to improve efficient, an outlier detection algorithm is proposed in this paper. The experimental results show that the proposed algorithm can improve the efficiency of the algorithm and reduce the waste of storage space.
outlier detection network-constrained uncertain trajectories sketch
Jingyu Chen Ping Chen Qiuyan Huo Lei Sun
Software Engineering Institute Xidian University Xian, China
国际会议
三峡
英文
2542-2546
2012-05-18(万方平台首次上网日期,不代表论文的发表时间)