Time-Space Domain of Group Behavior Research Based on Major Events Influence
Authors
Tingting Li, Lingyu Xu, Jie Yu, Lei Wang, Yunlan Xue, Yang Liu
Corresponding Author
Tingting Li
Available Online March 2015.
- DOI
- 10.2991/etmhs-15.2015.234How to use a DOI?
- Keywords
- Spatio-temporal data; Group behavior; time series; abnormal detection; k-Medoids
- Abstract
When a major event creates a behavior cluster, this cluster’s spatio-temporal data is the group behavior time-space domain. The time data of each individual on the space is a time series data. So this article we first to analyze the time series, approximately express the time series with the piecewise linear representation (PLR) method, and then use activity measure method for abnormal detection to get the abnormal time domain. According to the time of the major events occurred, we match individual abnormal time domain, and get the common abnormal groups. Finally, for these abnormal groups, we can get the space domain of the event with k-Medoids clustering algorithm analysis.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tingting Li AU - Lingyu Xu AU - Jie Yu AU - Lei Wang AU - Yunlan Xue AU - Yang Liu PY - 2015/03 DA - 2015/03 TI - Time-Space Domain of Group Behavior Research Based on Major Events Influence BT - Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science PB - Atlantis Press SP - 1069 EP - 1074 SN - 2352-5398 UR - https://doi.org/10.2991/etmhs-15.2015.234 DO - 10.2991/etmhs-15.2015.234 ID - Li2015/03 ER -