An Incremental Approach to Closest Pair Queries in Spatial Networks Using Best-First Search
This paper addresses the problem of k Closest Pairs (kCP) query in spatial network databases. A Best-First search approach namely BFCP (Best-First Closest Pair) is proposed. Given two data sets of objects in a spatial network, BFCP first finds the 1st CP by computing the 1st NN (nearest neighbor) of...
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Main Authors: | , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2011
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/1411 http://dx.doi.org10.1007/978-3-642-23091-2_13 |
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Institution: | Singapore Management University |
Language: | English |
Summary: | This paper addresses the problem of k Closest Pairs (kCP) query in spatial network databases. A Best-First search approach namely BFCP (Best-First Closest Pair) is proposed. Given two data sets of objects in a spatial network, BFCP first finds the 1st CP by computing the 1st NN (nearest neighbor) of each object in the set with smaller cardinality. Then BFCP retrieves the 2nd , 3rd , ... , kth CP in an incremental way by searching the next NN of the currently found CP's source point. Furthermore, a novel buffer replacement policy called MDU (Minimum Distance Unit) is proposed to reduce I/O cost of BFCP. Unlike LRU, which records only the last reference time, the MDU policy considers both temporal locality and spatial locality when selecting a buffer page as the victim. A comprehensive experimental study is conducted to demonstrate the advantage of BFCP and MDU. |
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