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Efficient Approximation of Optimization Queries Under Parametric Aggregation Constraints

Summary: Introduces OPAC queries, returning tuple sets that solve optimization problems with parameterized aggregate constraints and objectives. Precomputed, R-tree-compatible indices answer them approximately with guarantees and a tunable space–accuracy tradeoff. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9214
Venue
VLDB
Year
2003
Pagerank
6.3372067e-05
Overall Rank
5,164 | 64.58%
DOI
10.1016/B978-012722442-8/50074-4

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{guha_vldb03,
        title = {{Efficient Approximation of Optimization Queries Under Parametric Aggregation Constraints}},
        author = {Guha, Sudipto and Gunopoulos, Dimitrios and Koudas, Nick and Srivastava, Divesh and Vlachos, Michail},
        journal = {PVLDB},
        series = {{VLDB} '03},
        doi = {10.1016/B978-012722442-8/50074-4},
        url = {https://doi.org/10.1016/B978-012722442-8/50074-4},
        year = {2003}
}

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