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)
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Authors
- 1. Kai Zheng
- 2. Pui Cheong Fung
- 3. Xiaofang Zhou
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,012 | Clue-based Spatio-textual Query | 2017 | VLDB | 5.2415551e-05 |
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