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A declustering algorithm for minimising spatial join cost

  • Session 11: Algorithms and Applications
  • Conference paper
  • First Online:
Computing and Combinatorics (COCOON 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1276))

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Abstract

Spatial joins are important, yet time-consuming operations in spatial databases. In this paper we consider to minimise the I/O cost for the spatial join processing. A graph model is proposed to formalise the cost, and an algorithm originally proposed for distributed database design is adapted for spatial object declustering. We improve the algorithm by giving special consideration to the clusters with overlapped objects. Our algorithm can not only reduce the number of objects fetched from disk for refinement processing, but also be computationally more efficient than the previous algorithms.

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Author information

Authors and Affiliations

  1. Department of Maths and Computing, University of Southern Queensland, QLD 4350, Toowoomba, Australia

    Yanchun Zhang & Jitian Xiao

  2. CSIRO Mathematical and Information Sciences, GPO Box 664, 2601, Canberra, ACT, Australia

    Xiaofang Zhou

Authors
  1. Yanchun Zhang
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  2. Jitian Xiao
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  3. Xiaofang Zhou
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Editor information

Tao Jiang D. T. Lee

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© 1997 Springer-Verlag Berlin Heidelberg

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Zhang, Y., Xiao, J., Zhou, X. (1997). A declustering algorithm for minimising spatial join cost. In: Jiang, T., Lee, D.T. (eds) Computing and Combinatorics. COCOON 1997. Lecture Notes in Computer Science, vol 1276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0045103

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  • DOI: https://doi.org/10.1007/BFb0045103

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63357-0

  • Online ISBN: 978-3-540-69522-6

  • eBook Packages: Springer Book Archive

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