Paper Info
Title
MovementFinder: A multi-filter visual analytics design for movement data investigation.
Abstract
In this paper, we propose MovementFinder, a multi-filter visual analytics system for movement data investigation. Our system integrates movement information from different datasets. Then with various visualizations and multiple filters, it is able to summarize the general movement patterns of a group of people, and help analysts detect abnormal events. Case studies demonstrate its effectiveness in a fictious analysis scenario.
Year
DOI
Venue
2014
10.1109/VAST.2014.7042558
IEEE VAST
Field
DocType
ISSN
Data science,Data mining,Computer science,Visual analytics,Analytics
Conference
2325-9442
Citations 
PageRank 
References 
1
0.36
1
Authors
7
Name
Order
Citations
PageRank
Siming Chen112514.34
Zuchao Wang236113.82
Zipeng Liu321.71
Zhenhuang Wang4172.89
Chenglong Wang510.70
Zhengjie Miao6116.61
Xiaoru Yuan7115770.28