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空间数据库中的障碍反向最近邻查询 被引量:1

Obstructed reverse nearest neighbor queries in spatial databases
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摘要 反向最近邻查询已成为空间查询的热点问题,而障碍物在实际应用中是不可避免的,因而在障碍物环境中的反向最近邻查询也成为重要的空间查询。已有的可视反向最近邻查询只考虑了可视性,并没有考虑最小障碍距离。提出一种障碍物环境中新的反向最近邻查询的变体,查找障碍距离最小的反向最近邻,即障碍反向最近邻查询。利用障碍距离的计算和相应的剪枝规则,给出障碍反向最近邻查询的算法及相关定理和证明。 Reverse Nearest Neighbor(RNN) query has been a hot subject of spatial query.In the real world,obstacles are not avoided,so the RNN query which considers the obstacle existed has become an important spatial query.The existed visible RNN only considers the visibility and does not take obstructed distance into consideration.This paper introduces a novel variant of RNN queries,the Obstructed Reverse Nearest Neighbor(ORNN) search,which finds the RNN with the shortest obstructed distance among the obstacles.By using the computation of obstructed distance and the related pruning heuristics,the ORNN query processing algorithm is proposed,and the relevant theorem and proof are given.
出处 《计算机工程与应用》 CSCD 北大核心 2011年第34期130-133,共4页 Computer Engineering and Applications
基金 黑龙江省教育厅2011年度科学技术研究项目(No.12511102)
关键词 反向最近邻 空间数据库 可视性 障碍距离 Reverse Nearest Neighbo(rRNN) spatial database visibility obstructed distance
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参考文献9

  • 1Flip K,Muthukrishnan S.Influence sets based on reverse nearest neighbor queries[C]//Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, Dallas, USA, 2000.
  • 2Yang C, Link I.An index structure for efficient reverse nearest neighbor queries[C]//Proceedings of the IEEE International Conference on Data Engineering,Heidelberg,Germany,2001.
  • 3Stanoi I, Agrawal D, Abbadi A.Reverse nearest neighbor queries for dynamic databases[C]//Proceedings of the SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2000.
  • 4Tao Y, Papadias D, Lian X.Reverse kNN search in arbitrary dimensionality[C]//Proceedings of the VLDB,2004.
  • 5Singh A, Ferhatosmanoglu H, Tosun A.High dimensional reverse nearest neighbor queries[C]//Proceedings of the CIKM,2003.
  • 6Zaiane O R, RLee C H.Clustefing spatial data in the presence of obstacles:A density-based approach[C]//Proceedings of the IDEAS, 2002.
  • 7Gao Y, Zheng B.Continuous obstructed nearest neighbor queries in spatial databases[C]//Proceedings of the SIGMOD,2009.
  • 8Gao Yunjun, Zheng Baihua, Chen Gencai.On efficient visible reverse k-nearest neighbor query processing in spatial databases[J]. IEEE Trans Knowledge and Data Engineering, 2009,21 (9): 1314-1327.
  • 9deBergM,CheongO,邓俊辉.计算几何-算法及直用[M].北京:清华大学出版社,2009:335-338.

同被引文献13

  • 1KORN F, MUTHUKRISHNAN S. Influence sets based on reverse nearest neighbor queries[C] //Pro- ceedings of SlGMOD Conference on Management of Da- ta. New York: ACM, 2000: 201-212.
  • 2ANG C, LINK I. An index structure for improving closest pairs and related join queries in spatial databases [C] /// Proceedings of the International Data Engineering and Application Symposium. Los Alamitos : IEEE, 2002 : 352 - 362.
  • 3STANOI I, AGRAWAL I, ABBADI AE. Reverse nea- rest neighbor queries for dynamic databases[C] // Pro- eeedings of ACM SIGMOD Workshop. Dallas: ACM, 2000: 744- 755.
  • 4TAO Y F, PAPADIAS I), LIAN X. Reverse kNN search in arbitrary dimensionality [C] // Proceedings of VLDB Conference. Toronto: Morgan Kaufmann, 2004: 744 - 755.
  • 5GAOYJ, ZHENGBH, CHENGC, etal. Visiblere- verse k nearest neighbor query processing in spatial da- tabases [J]. IEEE Transactions on Knowledge and Data Engineering, 2009, 21(9) : 1314 - 1327.
  • 6WU W, YANG F, CHANCY, et al. Finch: Evalua- ting reverse k nearest neighbor queries on location data [C] // Proceedings of VLDB. Auckland: VLDB Endow- ment, 2008: 056- 1067.
  • 7TRAN Q T, TANIAR D, SAFAR M, et al. Bichro- matic reverse nearest neighbor search in mobile systems [J]. IEEE Systems Journal, 2010, 4(2) : 230 - 242.
  • 8TANIAR D, SAFAR M, TRAN Q T, et al. Spatial network RNN queries in GIS [J]. The Computer Jour- nal, 2011, 54(4): 617-627.
  • 9CHEEMA M A, LIN X M, ZHANG W J, et al. In- fluence zone: Efficiently processing reverse k nearest neighbors queries[C]//Proeeedings of ICI)E. Hannove: IEEE,2011:577 - 588.
  • 10CHEEMA M A, ZHANG W J, LIN X M, et al. Effi- ciently processing snapshot and continuous reverse k nearest neighbors queries [J]. The VLDB Journal, 2012, 21(5): 703-728.

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