All-Nearest-Neighbors Queries in Spatial Databases

  • Authors:
  • Jun Zhang;Nikos Mamoulis;Dimitris Papadias;Yufei Tao

  • Affiliations:
  • Nanyang Technological University, Singapore;University of Hong Kong, Pokfulam Road;Hong Kong University of Science and Technology, Clearwater Bay;City University of Hong Kong

  • Venue:
  • SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
  • Year:
  • 2004

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Abstract

Given two sets A and B of multidimensional objects, theall-nearest-neighbors (ANN) query retrieves for eachobject in A its nearest neighbor in B. Although thisoperation is common in several applications, it has notreceived much attention in the database literature. Inthis paper we study alternative methods for processingANN queries depending on whether A and B areindexed. Our algorithms are evaluated throughextensive experimentation using synthetic and realdatasets. The performance studies show that they arean order of magnitude faster than a previous approachbased on closest-pairs query processing.