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K-Nearest Neighbor Search for Fuzzy Objects

Summary: Proposes two kNN variants for fuzzy objects: AKNN (probability-threshold) and RKNN (probability-range) over indeterministic boundaries. AKNN uses tighter distance approximations; RKNN applies strong pruning, with experiments on synthetic and real data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4348
Venue
SIGMOD
Year
2010
Pagerank
5.093636e-05
Overall Rank
12,422 | 14.78%
DOI
10.1145/1807167.1807243

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Authors

BibTeX Citation

@inproceedings{zheng_sigmod10,
        title = {{K-Nearest Neighbor Search for Fuzzy Objects}},
        author = {Zheng, Kai and Fung, Pui Cheong and Zhou, Xiaofang},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807243},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807243},
        year = {2010}
}

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Rank Citing Paper Year Venue Pagerank
6,217 Clue-based Spatio-textual Query 2017 VLDB 5.9425753e-05
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