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Performance evaluation of tree-based structures

  • Nguyen Tran
  • Dung Phu Le
  • Bala Srinivasan
  • Bob Sier
Physical Aspects 2
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1134)

Abstract

Tree-based spatial indexing techniques have been developed for advanced applications which require high dimensional data. However, studies on spatial access methods particularly focus on the data structures and algorithms, performances in the worst case may not be predicted. In this paper, we propose a methodology for evaluating the performance of tree-based indexing techniques in the worst case, and a new tree-based data structure for indexing. The methodology allows better selection of indexing techniques for applications without having to actually implementing and experimenting the techniques. The new tree-based structure allows more efficient storage space utilisation and better searching time in comparison to the R-tree and TV-tree.

Keywords

Leaf Node Active Dimension Indexing Technique Space Utilisation Node Access 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Nguyen Tran
    • 1
  • Dung Phu Le
    • 1
  • Bala Srinivasan
    • 1
  • Bob Sier
    • 1
  1. 1.Department of Computer TechnologyMonash UniversityAustralia

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