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Stochastic Package Queries in Probabilistic Databases

Summary: In-database stochastic package queries (SPQs) extend SQL to select a package under uncertainty while minimizing cost. SummarySearch replaces huge Monte Carlo problems with smaller, scenario-summarized subproblems, delivering fast, near-optimal solutions with strong empirical speedups. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6042
Venue
SIGMOD
Year
2020
Pagerank
5.3396928e-05
Overall Rank
8,983 | 38.37%
DOI
10.1145/3318464.3389765

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{brucato_sigmod20,
        title = {{Stochastic Package Queries in Probabilistic Databases}},
        author = {Brucato, Matteo and Yadav, Nishant and Abouzied, Azza and Haas, Peter J. and Meliou, Alexandra},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389765},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389765},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
238 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.0002369322
699 Data Integration with Uncertainty 2007 VLDB 0.0001487423
993 Simulation of Database-Valued Markov Chains Using SimSQL 2013 SIGMOD 0.00012789598
9,221 PackageBuilder: From Tuples to Packages 2014 VLDB 5.3039758e-05
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