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Nearest Neighbor and Reverse Nearest Neighbor Queries for Moving Objects

by Rimantas Benetis, Christian S. Jensen, Gytis Karciauskas, Simonas Saltenis , 2001
"... With the proliferation of wireless communications and the rapid advances in technologies for tracking the positions of continuously moving objects, algorithms for efficiently answering queries about large numbers of moving objects increasingly are needed. One such query is the reverse nearest neighb ..."
Abstract - Cited by 120 (9 self) - Add to MetaCart
With the proliferation of wireless communications and the rapid advances in technologies for tracking the positions of continuously moving objects, algorithms for efficiently answering queries about large numbers of moving objects increasingly are needed. One such query is the reverse nearest

Continuous Reverse Nearest Neighbor Search

by Lien-fa Lin, Chao-chun Chen
"... The query service for the location of an object is called Location Based Services (LBSs), and Reverse Nearest Neighbor (RNN) queries are one of them. RNN queries have diversified applications, such as decision support system, market decision, query of database document, and biological information. ..."
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The query service for the location of an object is called Location Based Services (LBSs), and Reverse Nearest Neighbor (RNN) queries are one of them. RNN queries have diversified applications, such as decision support system, market decision, query of database document, and biological information

Constrained reverse nearest neighbor search on mobile objects

by Tobias Emrich, Hans-peter Kriegel, Peer Kröger, Matthias Renz, Andreas Züfle - In ACM SIGSPATIAL GIS , 2009
"... In this paper, we formalize the novel concept of Constrained Reverse k-Nearest Neighbor (CRkNN) search on mobile objects (clients) performed at a central server. The CRkNN query computes for a given query object q the set RkNN(q) of objects having q as one of their k-nearest neighbors, iff the resul ..."
Abstract - Cited by 4 (1 self) - Add to MetaCart
In this paper, we formalize the novel concept of Constrained Reverse k-Nearest Neighbor (CRkNN) search on mobile objects (clients) performed at a central server. The CRkNN query computes for a given query object q the set RkNN(q) of objects having q as one of their k-nearest neighbors, iff

Efficient Algorithms and Cost Models for Reverse Spatial-Keyword k-Nearest Neighbor Search

by Ying Lu, Jiaheng Lu, Gao Cong , WEI WU, CYRUS SHAHABI
"... Geographic objects associated with descriptive texts are becoming prevalent, justifying the need for spatial keyword queries that consider both locations and textual descriptions of the objects. Specifically, the relevance of an object to a query is measured by spatial-textual similarity that is bas ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
that is based on both spatial proximity and textual similarity. In this article, we introduce the Reverse Spatial-Keyword k-Nearest Neighbor (RSKkNN) query, which finds those objects that have the query as one of their k nearest spatial-textual objects. The RSKkNN queries have numerous applications in online

1Efficient Algorithms and Cost Models for Reverse Spatial-Keyword k-Nearest Neighbor Search

by Ying Lu, Jiaheng Lu, Gao Cong Nanyang
"... Geographic objects associated with descriptive texts are becoming prevalent, justifying the need for spa-tial keyword queries that consider both locations and textual descriptions of the objects. Specifically, the relevance of an object to a query is measured by spatial-textual similarity that is ba ..."
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that is based on both spatial prox-imity and textual similarity. In this article, we introduce the Reverse Spatial-Keyword k-Nearest Neighbor (RSKkNN) query, which finds those objects that have the query as one of their k nearest spatial-textual objects. The RSKkNN queries have numerous applications in online

High Dimensional Reverse Nearest Neighbor Queries

by Amit Singh, Hakan Ferhatosmanoglu, Ali Tosun - In CIKM , 2003
"... Reverse Nearest Neighbor (RNN) queries are of particular interest in a wide range of applications such as decision support systems, profile based marketing, data streaming, document databases, and bioinformatics. The earlier approaches to solve this problem mostly deal with two dimensional data. How ..."
Abstract - Cited by 46 (0 self) - Add to MetaCart
Reverse Nearest Neighbor (RNN) queries are of particular interest in a wide range of applications such as decision support systems, profile based marketing, data streaming, document databases, and bioinformatics. The earlier approaches to solve this problem mostly deal with two dimensional data

Nearest

by Rimantas Benetis, Christian S. Jensen, Gytis Karčiauskas
"... (will be inserted by the editor) ..."
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(will be inserted by the editor)

Continuous Reverse k Nearest Neighbors Queries in . . .

by Muhammad Aamir Cheema, Wenjie Zhang, Xuemin Lin, Ying Zhang, Xuefei Li - THE VLDB JOURNAL
"... In this paper, we study the problem of continuous monitoring of reverse ..."
Abstract - Cited by 8 (2 self) - Add to MetaCart
In this paper, we study the problem of continuous monitoring of reverse

Continuous Maximal Reverse Nearest Neighbor Query on Spatial Networks

by Parisa Ghaemi, Kaveh Shahabi, John P. Wilson, Farnoush Banaei-kashani
"... Given a set S of sites and a set O of weighted objects located on a spatial network, the optimal network location (ONL) query computes a location on the spatial network where in-troducing a new site would maximize the total weight of the objects that are closer to the new site than to any other site ..."
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Maximal Reverse Nearest Neighbor (CMaxRNN) queries on spatial networks, and introduce an approach that allows for efficient and incremental update of MaxRNN query results on spatial networks. With an exten-sive experimental study we evaluate and demonstrate the efficiency of our proposed approach

Reverse k Nearest Neighbors Query Processing: Experiments and Analysis

by unknown authors
"... Given a set of users, a set of facilities and a query facility q, a re-verse k nearest neighbors (RkNN) query returns every user u for which the query is one of its k closest facilities. RkNN queries have been extensively studied under a variety of settings and many so-phisticated algorithms have be ..."
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Given a set of users, a set of facilities and a query facility q, a re-verse k nearest neighbors (RkNN) query returns every user u for which the query is one of its k closest facilities. RkNN queries have been extensively studied under a variety of settings and many so-phisticated algorithms have
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