The M-Tree index, when used with Road Network Embedding, provides an efficient alternative which can return estimates of the AKNN results. The M-Tree index can ...
Most spatial queries make use of an R-Tree to process them efficiently. The M-Tree is a data tree index which is capable of indexing data in any metric space.
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This paper presents a method of performing Aggregate K. Nearest Neighbor (AKNN) queries over spatial networks us- ing an M-Tree index. Objects in the spatial ...
Efficient AKNN spatial network queries using the M-Tree 46. PDF · DBLP EE · DOI ... DBLP BibTeX. Yuan-Ko Huang, Chao-Chun Chen, Chiang Lee Efficient KNN ...
Abstract— Incrementally finding the k nearest neighbors (kNN) in a spatial network is an important problem in location-based services.
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Nov 21, 2024 · In this work, we propose a novel method for classifying multidimensional data using an AkNN algorithm in the MapReduce framework. Our approach ...
A framework for determining the shortest path and the distance between every pair of vertices on a spatial network is presented, resulting in an encoding ...
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In this paper, we propose a method for efficient multidimensional data clas- sification using AkNN queries in a single batch-based process in Hadoop [14],. [16] ...
Nov 12, 2021 · We present efficient algorithms to compute two spatial queries over points stored in compact data structures.
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Efficient approximation of spatial network queries using the m-tree with road network embedding. K Shaw, E Ioup, J Sample, M Abdelguerfi, O Tabone.