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Query Optimization over Crowdsourced Data

Summary: Deco's cost-based optimizer handles queries over stored data plus crowdsourced data, with a cost model separating free from paid data. It introduces a state-aware cardinality estimator and a plan-enumeration method that maximizes subplan reuse; experiments report cost accuracy and reuse efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10928
Venue
VLDB
Year
2013
Pagerank
5.8443704e-05
Overall Rank
6,548 | 55.08%
DOI
10.14778/2733004.2733006

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{park_vldb13,
        title = {{Query Optimization over Crowdsourced Data}},
        author = {Park, Hyunjung and Widom, Jennifer},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {10},
        pages = {781--792},
        doi = {10.14778/2733004.2733006},
        url = {https://doi.org/10.14778/2733004.2733006},
        year = {2013}
}

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