会议专题

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

2012 International Conference on Electric Technology and Civil Engineering(2012 电子技术与土木工程国际会议 ICETCE 2012)

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)