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 (Duke University)
- 2. Nirman Kumar (University of California Santa Barbara)
- 3. Stavros Sintos (Duke University)
- 4. Subhash Suri (University of California Santa Barbara)
BibTeX Citation
@inproceedings{agarwal_pods16,
address = {New York, NY, USA},
series = {{PODS} '16},
title = {{Range-Max Queries on Uncertain Data}},
url = {https://dl.acm.org/doi/10.1145/2902251.2902281},
doi = {10.1145/2902251.2902281},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Agarwal, Pankaj K. and Kumar, Nirman and Sintos, Stavros and Suri, Subhash},
year = {2016}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,605 | Efficient Search for the Top-k Probable Nearest Neighbors in Uncertain Databases | 2008 | VLDB | 0.00010229844 |
| 2,062 | Efficient Indexing Methods for Probabilistic Threshold Queries over Uncertain Data | 2004 | VLDB | 9.24085e-05 |
| 3,049 | Top-k Queries on Uncertain Data: On Score Distribution and Typical Answers | 2009 | SIGMOD | 7.8151597e-05 |
| 4,850 | Nearest-Neighbor Searching Under Uncertainty | 2012 | PODS | 6.480347e-05 |
| 7,025 | Nearest Neighbor Searching Under Uncertainty II | 2013 | PODS | 5.7234179e-05 |
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