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Identifying Insufficient Data Coverage in Databases with Multiple Relations

Summary: Efficiently detects insufficient coverage across attribute combinations spanning multiple relations without explicit joins. A join-avoiding index, parallel predicate processing, P-WALK lattice search, and approximate counts make combinatorial coverage analysis scalable. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12299
Venue
VLDB
Year
2020
Pagerank
5.5587371e-05
Overall Rank
7,721 | 47.03%
DOI
10.14778/3407790.3407821

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BibTeX Citation

@article{lin_vldb20,
        title = {{Identifying Insufficient Data Coverage in Databases with Multiple Relations}},
        author = {Lin, Yin and Guan, Yifan and Asudeh, Abolfazl and Jagadish, H. V.},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {11},
        pages = {2229--2242},
        doi = {10.14778/3407790.3407821},
        url = {https://doi.org/10.14778/3407790.3407821},
        year = {2020}
}

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