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)
Incoming Non-self Citations Over Time
Authors
- 1. Yin Lin (University of Michigan)
- 2. Yifan Guan (University of Michigan)
- 3. Abolfazl Asudeh (University of Illinois Chicago)
- 4. H. V. Jagadish (University of Michigan)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,273 | SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging | 2021 | SIGMOD | 8.8230899e-05 |
| 5,510 | Responsible Data Integration: Next-generation Challenges | 2022 | SIGMOD | 6.1919207e-05 |
| 5,631 | Tailoring Data Source Distributions for Fairness-aware Data Integration | 2021 | VLDB | 6.1427477e-05 |
| 6,824 | Fairly Evaluating and Scoring Items in a Data Set | 2020 | VLDB | 5.7623529e-05 |
| 7,367 | Identifying Insufficient Data Coverage for Ordinal Continuous-Valued Attributes | 2021 | SIGMOD | 5.6319194e-05 |
| 9,388 | Chameleon: Foundation Models for Fairness-aware Multi-modal Data Augmentation to Enhance Coverage of Minorities | 2024 | VLDB | 5.2755515e-05 |
| 9,922 | View-based Explanations for Graph Neural Networks | 2024 | SIGMOD | 5.1955087e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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