In this paper, a grid-based reverse k nearest neighbor query algorithm mTD-SubG-Imp is proposed. Firstly, the road network is divided into many grids, and the ...
Abstract: Most existing efficient algorithms for reverse k nearest neighbor query focus on the Euclidean space or static networks,and few of them study the ...
A grid-based reverse k nearest neighbor query algorithm mTD-SubG-Imp is proposed, which is divided into many grids, and the grids without points of interest ...
Nov 3, 2015 · Despite the wealth of research published on reverse k-nearest neighbour (RkNN) queries very few attempts have been made to solve the problem ...
The monochromatic time-dependent reverse k nearest neighbor query is ... Reverse k nearest neighbors search in spatial networks has been addressed ... k-Nearest ...
Jul 27, 2022 · In this paper, we study the Time-Dependent k Nearest Neighbor (TD-kNN) query on moving objects that aims to return k objects arriving at the ...
Despite the wealth of research published on reverse k-nearest neighbour (RkNN) queries very few attempts have been made to solve the problem in ...
[PDF] k-Nearest Neighbors Queries in Time-Dependent Road Networks
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Abstract. In this article, we study the problem of processing k-nearest neighbors (kNN) queries in road networks considering traffic conditions ...
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A reverse k nearest neighbor (RkNN) query retrieves all the data points that have q as one of their k closest points. In recent years, considerable research ...
Keywords: dynamic weight road network; continuous reverse k-nearest-neighbor; ... Since there is no need to go through the entire road network, the cpu time.