@inproceedings{09cf569a67544393acbbd4beee792181,
title = "Feature grouping-based outlier detection upon streaming Trajectories (Extended Abstract)",
abstract = "The existing detection techniques are not tailored to identify the outlier which is close to its neighbors according to some features, but behaves significantly distinct from its neighbors in terms of the other features. In this paper, we propose a feature grouping-based mechanism, and then present two algorithms to detect outliers (TF-outlier and MO-outlier) upon trajectory streams. The effectiveness and efficiency of our proposal are validated by the experiments on real trajectory data.",
keywords = "Feature grouping based, Outlier detecton, Trajectory stream",
author = "Jiali Mao and Tao Wang and Cheqing Jin and Aoying Zhou",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 34th IEEE International Conference on Data Engineering, ICDE 2018 ; Conference date: 16-04-2018 Through 19-04-2018",
year = "2018",
month = oct,
day = "24",
doi = "10.1109/ICDE.2018.00230",
language = "英语",
series = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1745--1746",
booktitle = "Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018",
address = "美国",
}