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This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data set …
We propose an Eficient Spatial-Temporal range Aggre-gation query processing (ESTA) algorithm for UAV net-works, which can find an eficient in-network …
Range Aggregate Processing in Spatial Databases. Yufei Tao and Dimitris Papadias. Abstract—A range aggregate query returns summarized information about the points …
Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract) Abstract: Data federations notably increase the amount of data …
These constraints limit the design space of distributed range aggregation query processing and render existing solutions inefficient on large-scale data. In this …
This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data …
Range aggregation queries over spatial data returns sum-marized information about the spatial objects falling within a spatial range specified as either a circle or a rectangle [1], …
This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data set …
This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data set cardinality (independently of the query size) for two-dimensional data.
This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree), which achieves logarithmic cost to the data …
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