A Group Member Search Method based on Dispersion Analysis

摘要：

　　Based on analyzing time-varying position information of moving objects,searching the group members which participate in a joint action could provide an important support for the decision makers in the field such as the investigation of criminal cases,group emergency disposal,largescale military action etc.As the expansion of mobility properties correlation analysis,this paper proposed a novel group member search method based on dispersion analysis,which focused on analyzing the dispersion variation before and after the introduction of a moving object into a group.Comparing the method judging only by mobility properties correlation,the proposed method can effectively reduce the occurrence probability of misclassification in some case,and search the group members more accurately.Combined with application background,the experiment analysis confirmed the validity and practicability of this method.

关键词： Mobility pattern group member search correlation dispersion

作者: Qiang Yang Bing Huang Xiaojun Zeng Jianfeng Liu

作者单位: Science and Technology on Information System Engineering Laboratory National University of Defense T School of Computer Science University of Mancheste Manchester M13 9PL,United Kingdom Beijing Institute of Remote Sensing Beijing,100192,P.R.China

会议类型: 国际会议

会议名称: 2014 2nd International Conference on Advanced Cloud and Big Data (CBD 2014)(2014年先进云计算和大数据国际会议)

会议地点: 安徽黄山

会议语种:英文

页码: 296-300

在线出版日期: 2014-11-20（万方平台首次上网日期，不代表论文的发表时间）