Title
Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge
Abstract
We developed a visual analytics system to analyze the provided heterogeneous 2015 VAST Challenge data. This system utilized several analytic models and visualization techniques. Currently, the underlying data models and clustering techniques have limitations in processing the large volume of data in real time. Therefore, for future work, we will improve the scalability of our system to support real time interactivity and analysis.
Year
DOI
Venue
2015
10.1109/VAST.2015.7347654
2015 IEEE Conference on Visual Analytics Science and Technology (VAST)
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
12
Name
Order
Citations
PageRank
Junghoon Chae1517.97
Guizhen Wang200.34
Benjamin Ahlbrand3121.84
Mahesh Babu Gorantla401.01
Jiawei Zhang580672.17
Siqaio Chen601.01
Hanye Xu701.35
Jieqiong Zhao8446.65
William Hatton901.01
Abish Malik10848.88
Sungahn Ko118710.20
David S. Ebert122056232.34