Range-Max Queries on Uncertain Data
Summary: Index structures for range-max on uncertain points (existence probabilities): first to achieve sub-quadratic space with sub-linear queries for any d≥1, with tunable space/query trade-offs. Also: set-intersection-based conditional lower bound, linear-size polylog-time 1/2-approx for expected max, and extensions to top-k and richer uncertainty models. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Pankaj K. Agarwal
- 2. Nirman Kumar
- 3. Stavros Sintos
- 4. Subhash Suri
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,535 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB | 0.00011461371 |
| 2,316 | Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data | 2004 | VLDB | 9.0513688e-05 |
| 3,190 | Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers | 2009 | SIGMOD | 7.413338e-05 |
| 4,721 | Nearest-Neighbor Searching Under Uncertainty | 2012 | PODS | 5.9647585e-05 |
| 7,080 | Nearest Neighbor Searching Under Uncertainty II | 2013 | PODS | 4.8353058e-05 |
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