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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
5.0629036e-05
Overall Rank
10,185 | 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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0.00033676943
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0.00018650998
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521
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1,044
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1,162
Responsible Data Management 2020
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0.00011747599
1,223
Data Management in Machine Learning: Challenges, Techniques, and Systems 2017
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0.00011468426
1,257
Towards Linear Algebra over Normalized Data 2017
VLDB
0.0001130959
1,308
Automating Large-Scale Data Quality Verification 2018
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0.00011073863
1,342
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020
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0.00010963254
1,344
Detecting Data Errors: Where are we and what needs to be done? 2016
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0.00010951939
1,848
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9.5075544e-05
2,127
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8.9990594e-05
2,241
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8.7704255e-05
2,590
Mind the Gap: An Experimental Evaluation of Imputation of Missing Values Techniques in Time Series 2020
VLDB
8.2468536e-05
2,663
A Layered Aggregate Engine for Analytics Workloads 2019
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8.1542952e-05
3,114
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7.6321464e-05
3,441
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6.7856132e-05
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6.6438522e-05
4,702
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6.46033e-05
4,955
Adaptive Data Augmentation for Supervised Learning over Missing Data 2021
VLDB
6.3386868e-05
5,298
Cleanits: A Data Cleaning System for Industrial Time Series 2019
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6.1882634e-05
5,510
Troubles with Nulls, Views from the Users 2022
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6.0980926e-05
5,645
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6.0509471e-05
6,552
JoinBoost: Grow Trees Over Normalized Data Using Only SQL 2023
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5.7475822e-05
6,553
ORBITS: Online Recovery of Missing Values in Multiple Time Series Streams 2021
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5.7475799e-05
7,710
ReStore - Neural Data Completion for Relational Databases 2021
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5.471539e-05
7,854
CoClean: Collaborative Data Cleaning 2020
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5.4380042e-05
7,880
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