Visual analytics of heterogeneous data for criminal event analysis VAST challenge 2015: Grand challenge
Junghoon Chae, Guizhen Wang, Benjamin Ahlbrand, Mahesh Babu Gorantla, Jiawei Zhang, Siqaio Chen, Hanye Xu, J. L. Zhao, William Hatton, Abish Malik, Sungahn Ko, David S. Ebert · 2015
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.