2 papers
cs.DB2025
Efficient Multiple Temporal Network Kernel Density Estimation
Yu Shao, Peng Cheng, Xiang Lian +5
Kernel density estimation (KDE) has become a popular method for visual analysis in various fields, such as financial risk forecasting, crime clustering, and traffic monitoring. KDE…
cs.DB2024
Numerical Estimation of Spatial Distributions under Differential Privacy
Leilei Du, Peng Cheng, Libin Zheng +4
Estimating spatial distributions is important in data analysis, such as traffic flow forecasting and epidemic prevention. To achieve accurate spatial distribution estimation, the a…