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Computing All Skyline Probabilities for Uncertain Data

Summary: First worst-case sub-quadratic algorithm to compute skyline probabilities for all tuples in uncertain databases, removing reliance on thresholding so low-probability but consequential items are preserved. Uses space-partitioning plus dominance-counting as core techniques; experimentally validated. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1499
Venue
PODS
Year
2009
Pagerank
5.289545e-05
Overall Rank
9,323 | 36.04%
DOI
10.1145/1559795.1559837

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{atallah_pods09,
        address = {New York, NY, USA},
        series = {{PODS} '09},
        title = {{Computing All Skyline Probabilities for Uncertain Data}},
        url = {https://dl.acm.org/doi/10.1145/1559795.1559837},
        doi = {10.1145/1559795.1559837},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Atallah, Mikhail J. and Qi, Yinian},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,127 Processing of Probabilistic Skyline Queries Using MapReduce 2015 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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