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Answering Range-Based Reverse kNN Queries

  • Zhefan Zhong
  • Xin LinEmail author
  • Liang He
  • Yan Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10988)

Abstract

Given a point q, a reverse k nearest neighbor (RkNN) query retrieves all the data points that have q as one of their k nearest neighbors. Despite significant progress on this problem, there is a research gap in finding RkNNs not just for an object, but for a given range, which is a natural extension of the problem. Motivated by this, we develop algorithms for exact processing of range-based RkNN with arbitrary values of k on dynamic datasets, which retrieve all the data points that have any position in the given query range R as one of their k nearest neighbors. The experimental results demonstrate the efficiency and the accuracy of our proposed optimizations and algorithms.

Keywords

Range-based RkNN queries Location-based services 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Shanghai Key Laboratory of Multidimensional Information ProcessingShanghaiChina
  2. 2.Department of Computer Science and TechnologyEast China Normal UniversityShanghaiChina

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