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- W2149494351 abstract "Nearest neighbors queries are commonly used in location based services. This paper focuses on enhancing their processing based on indexing structures. Indexes, like R-trees, cannot avoid backtracking to process them. This feature weakens suitability of such an index to several data access modes within mobile environments. To meet needs of these environments, we propose a novel index called VN-tree (Voronoi-Neighbors tree), based on the Voronoi diagram and its dual graph (the Delaunay Triangulation) of the candidate points of interest. VN-tree adopts a non-overlapping partitioning scheme and supports backtracking-free search algorithms to answer several types of queries. In particular, processing continuous nearest neighbor queries is a straightforward use of VN-tree. We conduct various experiments to compare VN-tree with R*-tree as in-memory indexes in the on-demand data access mode. Main results show that VN-tree consistently provides outstanding performances." @default.
- W2149494351 created "2016-06-24" @default.
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- W2149494351 date "2011-07-01" @default.
- W2149494351 modified "2023-09-25" @default.
- W2149494351 title "VN-tree for efficient nearest neighbors search in location based services" @default.
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- W2149494351 doi "https://doi.org/10.1109/iwcmc.2011.5982841" @default.
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