Group Identification from Visitor Movement Data: VAST 2015 Mini-Challenge 1

被引：0
|
作者：
Benjamin, Perakath [1 ]
Madanagopal, Karthic [1 ]
Akella, Kumar [1 ]
Vadakkeveedu, Kalyan [1 ]
机构：
[1] Knowledge Based Syst Inc, College Stn, TX 77840 USA
来源：
2015 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY | 2015年
关键词：
Group identification; co-occurrence and colocation; Group Tree Map; Movement Trace Graph; mobility data visualization; VAST; 2015; MC1;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper describes an advanced set of methods used to analyze and visualize group behavior in the VAST 2015 MC1 challenge data. The MC1 challenge was to characterize visitor groups based on the movement and check-in data. We describe different analysis and visualization methods used to identify the groups of visitors based on co-occurrence and colocation of visitors within the park. Based on the groups identified, different group characteristics and preferences were inferred from the dataset, thereby validating the methods described in the paper.
引用
收藏
页码：143 / 144
页数：2
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