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sPaQLTooLs: A Stochastic Package Query Interface for Scalable Constrained Optimization

Summary: sPaQLTooLs unifies stochastic modeling and constrained optimization in a database via stochastic package queries over Monte Carlo databases. Its SUMMARY SEARCH algorithm solves scenario-based problems scalably with approximation guarantees, outperforming prior methods. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h50738b475600b47d
Venue
VLDB
Year
2020
Pagerank
5.0682654e-05
Overall Rank
10,172 | 31.61%
DOI
10.14778/3415478.3415499

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{brucato_vldb20,
        title = {{sPaQLTooLs: A Stochastic Package Query Interface for Scalable Constrained Optimization}},
        author = {Brucato, Matteo and Mannino, Miro and Abouzied, Azza and Haas, Peter J. and Meliou, Alexandra},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {2881--2884},
        doi = {10.14778/3415478.3415499},
        url = {https://doi.org/10.14778/3415478.3415499},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
11,515 Counterfactual Explanation at Will, with Zero Privacy Leakage 2024 SIGMOD 4.9793485e-05
13,594 DeQL Studio: Declarative Decision-Making over Relational Data 2026 VLDB -
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
245 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.00023258672
9,050 Stochastic Package Queries in Probabilistic Databases 2020 SIGMOD 5.2305429e-05
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