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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)

Paper ID
1675
Venue
PODS
Year
2016
Pagerank
5.093636e-05
Overall Rank
12,027 | 17.49%
DOI
10.1145/2902251.2902281

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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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