ZIP: Lazy Imputation during Query Processing
Summary: ZIP makes relational operators imputation-aware at query time, using a cost-based decide-to-impute-or-defer policy while guaranteeing results equivalent to eager (pre-query) imputation. Key techniques: outer-join execution to preserve NULLs and a Bloom-filter index; yields 10–25× speedups over ImputeDB and up to 19,607× vs. offline imputation. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yiming Lin (University of California Irvine)
- 2. Sharad Mehrotra (University of California Irvine)
BibTeX Citation
@article{lin_vldb24,
title = {{ZIP: Lazy Imputation during Query Processing}},
author = {Lin, Yiming and Mehrotra, Sharad},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {1},
pages = {28--40},
doi = {10.14778/3617838.3617841},
url = {https://doi.org/10.14778/3617838.3617841},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,573 | Deduplicated Sampling On-Demand | 2025 | VLDB | 5.154741e-05 |
| 11,370 | DIM-SUM: Dynamic Imputation for Smart Utility Management | 2025 | VLDB | 4.9769913e-05 |
| 11,608 | Hardware-Efficient Data Imputation through DBMS Extensibility | 2024 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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