Efficient approximate range aggregation over large-scale spatial data federation

• Main Authors: SHI, Yexuan, TONG, Yongxin, ZENG, Yuxiang, ZHOU, Zimu, DING, Bolin, CHEN, Lei
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2023
• 主題: Spatial Data Federation; Range Aggregation; Sampling; Databases and Information Systems; Numerical Analysis and Scientific Computing
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/6383; https://ink.library.smu.edu.sg/context/sis_research/article/7386/viewcontent/tkde21_shi__1_.pdf
• 機構: Singapore Management University

Range aggregation is a primitive operation in spatial data applications and there is a growing demand to support such operations over a data federation, where the entire spatial data are separately held by multiple data providers (a.k.a., data silos). Data federations notably increase the amount of...