In-Database Data Imputation
Summary: In-database data imputation with MICE, using computation sharing and a ring abstraction to speed training. In-db learning of stochastic linear regression and Gaussian discriminant analysis for continuous/categorical imputation; PostgreSQL and DuckDB beat prior MICE and model-based methods by up to two orders of magnitude, preserving relationships. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Massimo Perini
- 2. Milos Nikolic
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,625 | Deduplicated Sampling On-Demand | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 35 of 35 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,053 | Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data | 2024 | VLDB | 4.1905499e-05 |
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| 7,400 | Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation | 2024 | VLDB | 4.7352383e-05 |
| 5,262 | Enriching Data Imputation with Extensive Similarity Neighbors | 2015 | VLDB | 5.5961016e-05 |
| 8,139 | Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints | 2020 | SIGMOD | 4.5727142e-05 |
| 6,601 | Missing Data Imputation with Uncertainty-Driven Network | 2024 | SIGMOD | 4.9924633e-05 |
| 9,481 | Data Imputation with Limited Data Redundancy Using Data Lakes | 2025 | VLDB | 4.3300131e-05 |
| 3,313 | Efficient and Effective Data Imputation with Influence Functions | 2022 | VLDB | 7.2336734e-05 |
| 10,956 | Certain and Approximately Certain Models for Statistical Learning | 2024 | SIGMOD | 4.1905499e-05 |
| 2,575 | Query Optimization for Dynamic Imputation | 2017 | VLDB | 8.5100213e-05 |