DocumentCode :
3600052
Title :
A Group Member Search Method Based on Dispersion Analysis
Author :
Qiang Yang ; Bing Huang ; Xiaojun Zeng ; Jianfeng Liu
Author_Institution :
Sch. of Comput. Sci., Univ. of Mancheste, Manchester, UK
fYear :
2014
Firstpage :
296
Lastpage :
300
Abstract :
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, large-scale 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.
Keywords :
correlation methods; pattern classification; pattern clustering; dispersion analysis; dispersion variation; group member search method; mobility properties correlation analysis; Acceleration; Correlation; Correlation coefficient; Dispersion; Search methods; Time series analysis; Trajectory; Mobility pattern; correlation; dispersion; group member; search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Cloud and Big Data (CBD), 2014 Second International Conference on
Print_ISBN :
978-1-4799-8086-4
Type :
conf
DOI :
10.1109/CBD.2014.46
Filename :
7176108
Link To Document :
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