TY - GEN
T1 - VAST challenge 2015
T2 - 10th IEEE Conference on Visual Analytics Science and Technology, VAST 2015
AU - Steptoe, Michael
AU - Krueger, Robert
AU - Zhang, Yifan
AU - Liang, Xing
AU - Garcia, Rolando
AU - Kadambi, Sagarika
AU - Luo, Wei
AU - Ertl, Thomas
AU - Maciejewski, Ross
N1 - Funding Information:
Acknowledgements: Some of the material presented here was supported by the NSF under Grant No. 1350573 and in part by the U.S. Department of Homeland Securitys VACCINE Center under Award Number 2009-ST-061-CI0001. The authors would like to thank the VAST challenge organizers and reviewers for organizing the contest.
Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/4
Y1 - 2015/12/4
N2 - The VAST 2015 Grand Challenge focused on a fictional park called DinoFunWorld where visitors are provided with a handheld device for communicating with park patrons and registering their visits to rides. Our goal was to develop a visual analytics system to help explore the spatiotemporal movement and communication data of the park patrons. Specifically, we wanted was to determine which patrons were involved in a theft that occurred at a park pavilion. In order to facilitate this data exploration, we have created a web-deployable system that combines data wrangling, trajectory analysis, network analysis, and interactive visualizations for discovering movement and communication patterns of users and their networks. We earned the Award for Outstanding Comprehensive Submission.
AB - The VAST 2015 Grand Challenge focused on a fictional park called DinoFunWorld where visitors are provided with a handheld device for communicating with park patrons and registering their visits to rides. Our goal was to develop a visual analytics system to help explore the spatiotemporal movement and communication data of the park patrons. Specifically, we wanted was to determine which patrons were involved in a theft that occurred at a park pavilion. In order to facilitate this data exploration, we have created a web-deployable system that combines data wrangling, trajectory analysis, network analysis, and interactive visualizations for discovering movement and communication patterns of users and their networks. We earned the Award for Outstanding Comprehensive Submission.
UR - http://www.scopus.com/inward/record.url?scp=84962868901&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962868901&partnerID=8YFLogxK
U2 - 10.1109/VAST.2015.7347639
DO - 10.1109/VAST.2015.7347639
M3 - Conference contribution
AN - SCOPUS:84962868901
T3 - 2015 IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Proceedings
SP - 119
EP - 120
BT - 2015 IEEE Conference on Visual Analytics Science and Technology, VAST 2015 - Proceedings
A2 - Chen, Min
A2 - Andrienko, Gennady
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 October 2015 through 30 October 2015
ER -