Title :
Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge
Author :
Junghoon Chae;Guizhen Wang;Benjamin Ahlbrand;Mahesh Babu Gorantla; Jiawei Zhang; Siqaio Chen; Hanye Xu; Jieqiong Zhao;William Hatton;Abish Malik;Sungahn Ko;David S. Ebert
Author_Institution :
Purdue University, USA
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.
Keywords :
"Visual analytics","Electronic mail","Trajectory","Tracking","Data visualization","Heating","Data mining"
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on
DOI :
10.1109/VAST.2015.7347654
