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Influence zone expansion for reverse k nearest neighbours query

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Abstract

The influence zone method is used to answer reverse k nearest neighbours (RkNN) queries using a region approach without having to verify each object; this makes the answering of a RkNN query more efficient than does the conventional point-to-point approach. However, the influence zone is unable to answer the dynamic value of k efficiently as it needs to know this value in advance. In this paper, a concept is introduced whereby the influence zone is expanded to enable answering the dynamic value of k as well. Furthermore, a concept is proposed that expands the influence zone of k= 1. Experimental results indicate that the expanded influence zone is able to answer RkNN queries even when the k value is dynamic, without the need to recompute it. Furthermore, the experiments show that the use of pre-computed regions will provide a stable query time for any value of k.

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Authors and Affiliations

  1. Telkom University, Seodaemun-gu, Bandung, Jawa Barat, 40257, Indonesia

    Matias Alvin

  2. La Trobe University, Melbourne, Australia

    Kiki Maulana Adhinugraha

  3. Saudi Electronic University, Riyadh, Saudi Arabia

    Sultan Alamri & Usama Mir

Authors
  1. Matias Alvin
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  2. Kiki Maulana Adhinugraha
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  3. Sultan Alamri
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  4. Usama Mir
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Correspondence to Sultan Alamri.

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Alvin, M., Adhinugraha, K.M., Alamri, S. et al. Influence zone expansion for reverse k nearest neighbours query. Multimed Tools Appl 83, 15253–15266 (2024). https://doi.org/10.1007/s11042-021-11275-3

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  • DOI: https://doi.org/10.1007/s11042-021-11275-3

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