Title
A Visual Explorer for Analyzing Trajectory Patterns
Abstract
In this paper, we propose a web-based interactive visual analytic system effective for revealing the trajectory patterns. We describe the analysis approach with the data of MC1 of the VAST challenge 2017.
Year
DOI
Venue
2017
10.1109/VAST.2017.8585462
2017 IEEE Conference on Visual Analytics Science and Technology (VAST)
Keywords
Field
DocType
Visual analytics,Information visualization
Data mining,Information visualization,Computer science,Visual analytics,Cluster analysis,Analytics,Benchmark (computing),Trajectory
Conference
ISSN
ISBN
Citations 
2325-9442
978-1-5386-3164-5
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Wooil Kim112016.95
Changbeom Shim263.48
Ilhyun Suh300.34
Yon Dohn Chung466648.55