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Reverse k Nearest Neighbors Query Processing: Experiments and Analysis

Summary: Comprehensive RkNN benchmark exposing misleading fixed I/O models and the importance of buffering, while fairly comparing prior algorithms across settings. A new filtering strategy accelerates TPL by up to 20× and halves its I/O cost. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11359
Venue
VLDB
Year
2015
Pagerank
5.282937e-05
Overall Rank
9,356 | 35.81%
DOI
10.14778/2735508.2735516

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{yang_vldb15,
        title = {{Reverse k Nearest Neighbors Query Processing: Experiments and Analysis}},
        author = {Yang, Shiyu and Cheema, Muhammad Aamir and Lin, Xuemin and Wang, Wei},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {6},
        pages = {605--616},
        doi = {10.14778/2735508.2735516},
        url = {https://doi.org/10.14778/2735508.2735516},
        year = {2015}
}

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