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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
5981
Venue
SIGMOD
Year
2020
Pagerank
4.4603778e-05
Overall Rank
8,700 | 39.54%
DOI
10.1145/3318464.3389765

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

Rank Cited Paper Year Venue Pagerank
322 MCDB: A Monte Carlo Approach to Managing Uncertain Data 2008 SIGMOD 0.00027523667
718 Data Integration with Uncertainty 2007 VLDB 0.00017558942
1,165 Simulation of Database-Valued Markov Chains Using SimSQL 2013 SIGMOD 0.00013567206
8,979 PackageBuilder: From Tuples to Packages 2014 VLDB 4.4144821e-05
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