Name
Abstract | ||
|---|---|---|
As the world trend is elapsing toward the big data world, researchers have gradually become interested in data analysis and data visualization. We propose a visual analytics system for analyzing the big data for disease pattern analysis. The system is designed for not only experts but also novice users. We have focused on designing the system to support a short learning curve and scalability. The system is implemented on the web and we utilize Spring Framework for distributed processing with consideration to scalability. Furthermore, we have collected epidemic disease data from a public data repository that the government opens to the public and we analyze the data to reveal the causality of disease outbreak through our system. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2837060.2837089 | Proceedings of the 2015 International Conference on Big Data Applications and Services |
DocType | ISBN | Citations |
Conference | 978-1-4503-3846-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seokyeon Kim | 1 | 4 | 1.74 |
| Seongmin Jeong | 2 | 3 | 1.73 |
| Sung Uk An | 3 | 0 | 0.34 |
| Jae Seok Yoo | 4 | 0 | 0.34 |
| Sang Min Han | 5 | 0 | 0.34 |
| Hanbyul Yeon | 6 | 11 | 3.49 |
| Sangbong Yoo | 7 | 0 | 2.37 |
| Yun Jang | 8 | 302 | 25.63 |