2 papers
cs.DB2023
Learned spatial data partitioning
Keizo Hori, Yuya Sasaki, Daichi Amagata +2
Due to the significant increase in the size of spatial data, it is essential to use distributed parallel processing systems to efficiently analyze spatial data. In this paper, we f…
cs.DB2021
Smart City Data Analysis via Visualization of Correlated Attribute Patterns
Yuya Sasaki, Keizo Hori, Daiki Nishihara +9
Urban conditions are monitored by a wide variety of sensors that measure several attributes, such as temperature and traffic volume. The correlations of sensors help to analyze and…