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On Efficient Reverse k-Skyband Query Processing

  • Qing Liu
  • Yunjun Gao
  • Gang Chen
  • Qing Li
  • Tao Jiang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7238)

Abstract

This paper, for the first time, addresses the problem of efficient reverse k-skyband (RkSB) query processing. Given a set P of multi-dimensional points and a query point q, an RkSB query returns all the points in P whose dynamic k-skyband contains q. We formalize the RkSB query, and then propose three algorithms for computing the RkSB of an arbitrary query point efficiently. Our methods utilize a conventional data-partitioning index (e.g., R-tree) on the dataset, as well as employ pre-computation and pruning techniques to improve the query performance. Extensive experiments using both real and synthetic datasets demonstrate the effectiveness of our proposed pruning heuristics and the performance of our proposed algorithms.

Keywords

Query Processing Synthetic Dataset Query Point Skyline Query Wall Clock Time 
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 2012

Authors and Affiliations

  • Qing Liu
    • 1
  • Yunjun Gao
    • 1
  • Gang Chen
    • 1
  • Qing Li
    • 2
  • Tao Jiang
    • 3
  1. 1.College of Computer ScienceZhejiang UniversityChina
  2. 2.Department of Computer ScienceCity University of Hong KongHong Kong
  3. 3.College of Mathematics Physics and Information EngineeringJiaxing UniversityChina

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