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cs.DB2020
STULL: Unbiased Online Sampling for Visual Exploration of Large Spatiotemporal Data
Guizhen Wang, Jingjing Guo, Mingjie Tang +6
Online sampling-supported visual analytics is increasingly important, as it allows users to explore large datasets with acceptable approximate answers at interactive rates. However…
cs.DB2020
SWARM: Adaptive Load Balancing in Distributed Streaming Systems for Big Spatial Data
Anas Daghistani, Walid G. Aref, Arif Ghafoor +1
The proliferation of GPS-enabled devices has led to the development of numerous location-based services. These services need to process massive amounts of spatial data in real-time…