Efficient evaluation of partially-dimensional range queries using adaptive r*-tree

  • Authors:
  • Yaokai Feng;Akifumi Makinouchi

  • Affiliations:
  • Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan;Department of Information Network Engineering, Kurume Institute of Technology, Japan

  • Venue:
  • DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper is about how to efficiently evaluate partially-dimensional range queries, which are often used in many actual applications. If the existing multidimensional indices are employed to evaluate partially-dimensional range queries, then a great deal of information that is irrelevant to the queries also has to be read from disk. A modification of R*-tree is described in this paper to ameliorate such a situation. Discussions and experiments indicate that the proposed modification can clearly improve the performance of partially-dimensional range queries, especially for large datasets.