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HoloClean: Holistic Data Repairs with Probabilistic Inference

Summary: HoloClean unifies constraint-/external-source-based and statistical data repair through automatically generated probabilistic programs. Scalable inference optimizations handle millions of tuples, achieving ~90% precision, >76% recall, and >2× F1 over prior methods. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
hfd89a18c795e9f81
Venue
VLDB
Year
2017
Pagerank
0.00033951027
Overall Rank
100 | 99.34%
DOI
10.14778/3137628.3137663
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{rekatsinas_vldb17,
        title = {{HoloClean: Holistic Data Repairs with Probabilistic Inference}},
        author = {Rekatsinas, Theodoros and Chu, Xu and Ilyas, Ihab F. and Ré, Christopher},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {11},
        pages = {1190--1203},
        doi = {10.14778/3137628.3137663},
        url = {https://doi.org/10.14778/3137628.3137663},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 45 of 145 citing papers.

Rank Citing Paper Year Venue Pagerank
10,273 Scalable and Usable Relational Learning With Automatic Language Bias 2021 SIGMOD 5.0356939e-05
10,280 Towards Interpretable and Learnable Risk Analysis for Entity Resolution 2020 SIGMOD 5.0334833e-05
10,302 On Saving Outliers for Better Clustering over Noisy Data 2021 SIGMOD 5.0299171e-05
10,373 Parallel Rule Discovery from Large Datasets by Sampling 2022 SIGMOD 5.0005386e-05
10,385 Budgeted Interactive Property Graph Repair with GNN 2027 SIGMOD 4.9605343e-05
10,409 SemDistill: Bootstrapping a Low-Latency, Low-Cost Semantic Table Annotator from Noisy LLM 2027 SIGMOD 4.9605343e-05
10,431 Towards Scalable Visual Data Wrangling via Direct Manipulation 2026 CIDR 4.9605343e-05
10,508 CoShap: A Scalable Coalition Growth Approach to Shapley Value Approximation 2026 SIGMOD 4.9605343e-05
10,517 Discovery of Denial Constraints with Hardware Acceleration 2026 SIGMOD 4.9605343e-05
10,592 Understanding the Impact of Data Noise in Federated Learning: [Experiments & Analysis] 2026 SIGMOD 4.9605343e-05
10,606 Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints 2026 SIGMOD 4.9605343e-05
10,629 Cleaning Time Series under Seasonal and Trend Constraints 2026 SIGMOD 4.9605343e-05
10,690 Analyzing Deviations from Monotonic Trends through Database Repair 2026 SIGMOD 4.9605343e-05
10,759 SHoTClean: Bridging Soft and Hard Constraints for Multivariate Time Series Cleaning 2026 SIGMOD 4.9605343e-05
10,866 Measuring Database Unfairness via Dependency Quantification Under Differential Privacy 2026 VLDB 4.9605343e-05
10,875 Document-to-Database: Extraction Meets Relational Semantics 2026 VLDB 4.9605343e-05
10,902 PrepBench: How Far Are We from Natural-Language-Driven Data Preparation? 2026 VLDB 4.9605343e-05
10,925 PipeLens: Identifying Interventions for Resolving Malfunctioning Data Science Pipelines 2026 VLDB 4.9605343e-05
10,939 DeepPrep: An LLM-Powered Agentic System for Autonomous Data Preparation 2026 VLDB 4.9605343e-05
11,051 NiceT: Named Entity Cleaning and Enhancement with Human-in-the-loop 2026 VLDB 4.9605343e-05
11,190 User-Centric Property Graph Repairs 2025 SIGMOD 4.9605343e-05
11,256 Incremental Rule Discovery in Response to Parameter Updates 2025 SIGMOD 4.9605343e-05
11,269 Computing Inconsistency Measures Under Differential Privacy 2025 SIGMOD 4.9605343e-05
11,299 A Systematic Study on Early Stopping Metrics in HPO and the Implications of Uncertainty 2025 VLDB 4.9605343e-05
11,378 Meaningful Data Erasure in the Presence of Dependencies 2025 VLDB 4.9605343e-05
11,381 How and Why False Denial Constraints are Discovered 2025 VLDB 4.9605343e-05
11,413 UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow 2025 VLDB 4.9605343e-05
11,423 DIM-SUM: Dynamic Imputation for Smart Utility Management 2025 VLDB 4.9605343e-05
11,461 DemandClean: A Multi-Objective Learning Framework for Balancing Model Tolerance to Data Authenticity and Diversity 2025 VLDB 4.9605343e-05
11,483 New Trends in Data Forgetting for Sustainable Data Management 2025 VLDB 4.9605343e-05
11,493 bNDCRepair: Cleaning both Data Errors and Inaccurate Constraints on Numerical Sequential Data 2025 VLDB 4.9605343e-05
11,641 Win-Win: On Simultaneous Clustering and Imputing over Incomplete Data 2024 VLDB 4.9605343e-05
11,644 Enriching Relations with Additional Attributes for ER 2024 VLDB 4.9605343e-05
11,655 Hardware-Efficient Data Imputation through DBMS Extensibility 2024 VLDB 4.9605343e-05
11,688 Rock: Cleaning Data with both ML and Logic Rules 2024 VLDB 4.9605343e-05
11,713 Generalizable Data Cleaning of Tabular Data in Latent Space 2024 VLDB 4.9605343e-05
11,751 LinCQA: Faster Consistent Query Answering with Linear Time Guarantees 2023 SIGMOD 4.9605343e-05
11,758 Regularized Pairwise Relationship based Analytics for Structured Data 2023 SIGMOD 4.9605343e-05
11,788 Splitting Tuples of Mismatched Entities 2023 SIGMOD 4.9605343e-05
11,955 ActivePDB: Active Probabilistic Databases 2022 VLDB 4.9605343e-05
11,965 Machine Programming: Turning Data into Programmer Productivity 2022 VLDB 4.9605343e-05
11,986 Ease.ML: A Lifecycle Management System for MLDev and MLOps 2021 CIDR 4.9605343e-05
12,093 Migrating a Privacy-Safe Information Extraction System to a Software 2.0 Design 2020 CIDR 4.9605343e-05
12,132 T-REx: Table Repair Explanations 2020 SIGMOD 4.9605343e-05
12,226 IHCS: An Integrated Hybrid Cleaning System 2019 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
190 A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification 2005 SIGMOD 0.00025812169
264 Record Linkage: Similarity Measures and Algorithms 2006 SIGMOD 0.0002276412
348 Discovering Denial Constraints 2013 VLDB 0.00020216677
502 Dependencies Revisited for Improving Data Quality 2008 PODS 0.00017239652
516 Data Curation at Scale: The Data Tamer System 2013 CIDR 0.00016963937
527 Improving Data Quality: Consistency and Accuracy 2007 VLDB 0.00016859013
544 ERACER: A Database Approach for Statistical Inference and Data Cleaning 2010 SIGMOD 0.00016584014
569 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00016212139
619 Reasoning about Record Matching Rules 2009 VLDB 0.00015503747
621 Entity Resolution: Theory, Practice & Open Challenges 2012 VLDB 0.00015460277
652 Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes 2013 SIGMOD 0.00015117165
695 NADEEF: A Commodity Data Cleaning System 2013 SIGMOD 0.00014679058
769 The LLUNATIC Data-Cleaning Framework 2013 VLDB 0.00014091996
939 Truth Finding on the Deep Web: Is the Problem Solved? 2013 VLDB 0.00012945534
988 Towards Certain Fixes with Editing Rules and Master Data 2010 VLDB 0.00012643318
1,067 Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS 2011 VLDB 0.00012170631
1,099 KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing 2015 SIGMOD 0.00012008783
1,169 DimmWitted: A Study of Main-Memory Statistical Analytics 2014 VLDB 0.00011690039
1,306 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00011076619
1,354 Sampling the Repairs of Functional Dependency Violations under Hard Constraints 2010 VLDB 0.00010912271
2,759 Dichotomies in the Complexity of Preferred Repairs 2015 PODS 8.0269594e-05
2,958 Towards Dependable Data Repairing with Fixing Rules 2014 SIGMOD 7.7991971e-05
3,797 SLiMFast: Guaranteed Results for Data Fusion and Source Reliability 2017 SIGMOD 6.9951279e-05
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