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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
5.0653015e-05
Overall Rank
10,181 | 31.55%
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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Pagerank
104
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0.00033690989
105
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0.00033638251
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0.0001865959
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521
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730
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978
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0.00012731074
1,043
Data Cleaning: Overview and Emerging Challenges 2016
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0.00012335114
1,162
Responsible Data Management 2020
VLDB
0.00011753159
1,255
Data Management in Machine Learning: Challenges, Techniques, and Systems 2017
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0.00011325762
1,256
Towards Linear Algebra over Normalized Data 2017
VLDB
0.00011314687
1,308
Automating Large-Scale Data Quality Verification 2018
VLDB
0.0001107886
1,342
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020
VLDB
0.00010968223
1,344
Detecting Data Errors: Where are we and what needs to be done? 2016
VLDB
0.00010956518
1,847
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions 2021
VLDB
9.5120573e-05
2,125
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VLDB
9.0033119e-05
2,239
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VLDB
8.7745792e-05
2,589
Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series 2020
VLDB
8.2507594e-05
2,663
A Layered Aggregate Engine for Analytics Workloads 2019
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8.1581558e-05
3,112
Incremental View Maintenance with Triple Lock Factorization Benefits 2018
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7.6357579e-05
3,441
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7.2980777e-05
4,131
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6.788827e-05
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VLDB
6.6469984e-05
4,699
F-IVM: Learning over Fast-Evolving Relational Data 2020
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6.4633894e-05
4,953
Adaptive Data Augmentation for Supervised Learning over Missing Data 2021
VLDB
6.3416889e-05
5,294
Cleanits: A Data Cleaning System for Industrial Time Series 2019
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6.1911943e-05
5,507
Troubles with Nulls, Views from the Users 2022
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6.1009808e-05
5,643
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks 2023
VLDB
6.0538129e-05
6,550
JoinBoost: Grow Trees Over Normalized Data Using Only SQL 2023
VLDB
5.7503043e-05
6,551
ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams 2021
VLDB
5.750302e-05
7,704
ReStore - Neural Data Completion for Relational Databases 2021
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5.4741304e-05
7,850
CoClean: Collaborative Data Cleaning 2020
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5.4405793e-05
7,875
Learning Over Dirty Data Without Cleaning 2020
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5.4355826e-05
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5.3849926e-05
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