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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)
Paper ID
h928ab16d37b4852d
Venue
SIGMOD
Year
2024
Pagerank
5.0461625e-05
Overall Rank
10,218 | 31.51%
DOI
10.1145/3639326
Incoming Non-self Citations Over Time
BibTeX Citation
@inproceedings{perini_sigmod24,
title = {{In-Database Data Imputation}},
author = {Perini, Massimo and Nikolic, Milos},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3639326},
url = {https://dl.acm.org/doi/10.1145/3639326},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
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.
Rank
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Year
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100
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0.00033951027
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0.00018619173
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522
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989
Data Cleaning: Overview and Emerging Challenges 2016
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0.00012638176
1,163
Responsible Data Management 2020
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0.00011709266
1,200
Towards Linear Algebra over Normalized Data 2017
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0.00011524945
1,226
Data Management in Machine Learning: Challenges, Techniques, and Systems 2017
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0.00011432354
1,278
Automating Large-Scale Data Quality Verification 2018
VLDB
0.00011208469
1,306
Detecting Data Errors: Where are we and what needs to be done? 2016
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0.00011076619
1,347
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020
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0.00010947547
1,744
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9.7253583e-05
2,131
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8.9867472e-05
2,252
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8.7454369e-05
2,598
Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series 2020
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8.2195844e-05
2,673
A Layered Aggregate Engine for Analytics Workloads 2019
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3,122
Incremental View Maintenance with Triple Lock Factorization Benefits 2018
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7.6091671e-05
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6.6220109e-05
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F-IVM: Learning over Fast-Evolving Relational Data 2020
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6.4389681e-05
4,978
Adaptive Data Augmentation for Supervised Learning over Missing Data 2021
VLDB
6.3182056e-05
5,317
Cleanits: A Data Cleaning System for Industrial Time Series 2019
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6.1678012e-05
5,532
Troubles with Nulls, Views from the Users 2022
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6.0779286e-05
5,658
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6.0309825e-05
6,562
JoinBoost: Grow Trees Over Normalized Data Using Only SQL 2023
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5.7287508e-05
6,563
ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams 2021
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5.7285748e-05
7,723
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7,870
CoClean: Collaborative Data Cleaning 2020
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5.4200227e-05
7,884
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5.4169982e-05
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5.3646457e-05
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