Query Optimization for Dynamic Imputation
Summary: ImputeDB fuses imputation with a cost-based optimizer to do on-the-fly cleaning per query. Choosing where to apply imputations yields 10–140x speedups over pre-imputation, with 0–8% result change and 0–21% data loss versus dropping missing values. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. José Cambronero (Massachusetts Institute of Technology)
- 2. John K. Feser (Massachusetts Institute of Technology)
- 3. Micah J. Smith (Massachusetts Institute of Technology)
- 4. Samuel Madden (Massachusetts Institute of Technology)
BibTeX Citation
@article{cambronero_vldb17,
title = {{Query Optimization for Dynamic Imputation}},
author = {Cambronero, José and Feser, John K. and Smith, Micah J. and Madden, Samuel},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {11},
pages = {1310--1321},
doi = {10.14778/3137628.3137632},
url = {https://doi.org/10.14778/3137628.3137632},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 18 of 18 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,524 | Multi-Objective Parametric Query Optimization | 2015 | VLDB | 8.3439125e-05 |
| 3,565 | Processing Forecasting Queries | 2007 | VLDB | 7.2039591e-05 |
| 5,909 | Query Processing over Incomplete Autonomous Databases | 2007 | VLDB | 5.9505465e-05 |
| 6,089 | Lenses: An On-Demand Approach to ETL | 2015 | VLDB | 5.8908642e-05 |
| 7,077 | Inter-Operator Feedback in Data Stream Management Systems via Punctuation | 2009 | CIDR | 5.6061041e-05 |
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