Continuous Nearest Neighbor Monitoring in Road Networks

Recent research has focused on continuous monitoring of nearest neighbors (NN) in highly dynamic scenarios, where the queries and the data objects move frequently and arbitrarily. All existing methods, however, assume the Euclidean distance metric. In this paper we study k-NN monitoring in road netw...

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Main Authors: MOURATIDIS, Kyriakos, YIU, Man Lung, PAPADIAS, Dimitris, MAMOULIS, Nikos
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Language:English
Published: Institutional Knowledge at Singapore Management University 2006
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Online Access:https://ink.library.smu.edu.sg/sis_research/872
https://ink.library.smu.edu.sg/context/sis_research/article/1871/viewcontent/VLDB06_CNN.pdf
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spelling sg-smu-ink.sis_research-18712016-04-29T08:26:00Z Continuous Nearest Neighbor Monitoring in Road Networks MOURATIDIS, Kyriakos YIU, Man Lung PAPADIAS, Dimitris MAMOULIS, Nikos Recent research has focused on continuous monitoring of nearest neighbors (NN) in highly dynamic scenarios, where the queries and the data objects move frequently and arbitrarily. All existing methods, however, assume the Euclidean distance metric. In this paper we study k-NN monitoring in road networks, where the distance between a query and a data object is determined by the length of the shortest path connecting them. We propose two methods that can handle arbitrary object and query moving patterns, as well as °uctuations of edge weights. The ¯rst one maintains the query results by processing only updates that may invalidate the current NN sets. The second method follows the shared execution paradigm to reduce the processing time. In particular, it groups together the queries that fall in the path between two consecutive intersections in the network, and produces their results by monitoring the NN sets of these intersections. We experimentally verify the applicability of the proposed techniques to continuous monitoring of large data and query sets. 2006-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/872 https://ink.library.smu.edu.sg/context/sis_research/article/1871/viewcontent/VLDB06_CNN.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University information retrieval nearest neighbors data query road networks network monitoring query optimization Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic information retrieval
nearest neighbors
data query
road networks
network monitoring
query optimization
Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle information retrieval
nearest neighbors
data query
road networks
network monitoring
query optimization
Databases and Information Systems
Numerical Analysis and Scientific Computing
MOURATIDIS, Kyriakos
YIU, Man Lung
PAPADIAS, Dimitris
MAMOULIS, Nikos
Continuous Nearest Neighbor Monitoring in Road Networks
description Recent research has focused on continuous monitoring of nearest neighbors (NN) in highly dynamic scenarios, where the queries and the data objects move frequently and arbitrarily. All existing methods, however, assume the Euclidean distance metric. In this paper we study k-NN monitoring in road networks, where the distance between a query and a data object is determined by the length of the shortest path connecting them. We propose two methods that can handle arbitrary object and query moving patterns, as well as °uctuations of edge weights. The ¯rst one maintains the query results by processing only updates that may invalidate the current NN sets. The second method follows the shared execution paradigm to reduce the processing time. In particular, it groups together the queries that fall in the path between two consecutive intersections in the network, and produces their results by monitoring the NN sets of these intersections. We experimentally verify the applicability of the proposed techniques to continuous monitoring of large data and query sets.
format text
author MOURATIDIS, Kyriakos
YIU, Man Lung
PAPADIAS, Dimitris
MAMOULIS, Nikos
author_facet MOURATIDIS, Kyriakos
YIU, Man Lung
PAPADIAS, Dimitris
MAMOULIS, Nikos
author_sort MOURATIDIS, Kyriakos
title Continuous Nearest Neighbor Monitoring in Road Networks
title_short Continuous Nearest Neighbor Monitoring in Road Networks
title_full Continuous Nearest Neighbor Monitoring in Road Networks
title_fullStr Continuous Nearest Neighbor Monitoring in Road Networks
title_full_unstemmed Continuous Nearest Neighbor Monitoring in Road Networks
title_sort continuous nearest neighbor monitoring in road networks
publisher Institutional Knowledge at Singapore Management University
publishDate 2006
url https://ink.library.smu.edu.sg/sis_research/872
https://ink.library.smu.edu.sg/context/sis_research/article/1871/viewcontent/VLDB06_CNN.pdf
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