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Research on why-not questions of top-K query in orthogonal region

  • GuoHui Li
  • Ping Sun
  • Ling YuanEmail author
  • MingLi Wang
  • HongJu Cheng
Article
  • 23 Downloads

Abstract

Orthogonal region query has always been an important topic in the field of database query, geographic information system, computer graphics, data mining and multimedia information retrieval. In recent years, the “Why-Not” questions has gradually become a hot topic in the SQL query, Skyline query, and spatial keyword Top-K query. However, no one has answered the “Why-Not” questions of the orthogonal region Top-K query. Based on the in-depth study of the orthogonal region Top-K query algorithm, this paper first proposes to answer the “Why-Not” questions in the orthogonal region Top-K query. We adjust the initial query so that the result set of the new query contains the “Why-Not” elements with the least cost. Abundant experiments have been conducted to analyze the proposed algorithm on the factors of initial k value, initial rank, and data size. The experimental results demonstrate the accuracy and efficiency of the proposed algorithm.

Keywords

Orthogonal range query Top-K query Why-not questions 

Notes

Acknowledgements

This work was supported by National Natural Science Fund of China under grants 61572215.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Huazhong University of Science and TechnologyWuhanChina
  2. 2.FiberHome Technologies GroupWuhanChina
  3. 3.College of Mathematics and Computer ScienceFuzhou UniversityFuzhouChina
  4. 4.Key Laboratory of Spatial Data Mining and Information SharingMinistry of EducationFuzhouChina

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