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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 50 of 145 citing papers.

Rank Citing Paper Year Venue Pagerank
7,076 How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses 2024 VLDB 5.5909675e-05
7,194 DataPrism: Exposing Disconnect between Data and Systems 2022 SIGMOD 5.573413e-05
7,272 Akane: Perplexity-Guided Time Series Data Cleaning 2024 SIGMOD 5.5530425e-05
7,310 Data Civilizer 2.0: A Holistic Framework for Data Preparation and Analytics 2019 VLDB 5.5432586e-05
7,438 Data Integration and Machine Learning: A Natural Synergy 2018 VLDB 5.5123601e-05
7,496 Fast Detection of Denial Constraint Violations 2022 VLDB 5.4968024e-05
7,527 PIClean: A Probabilistic and Interactive Data Cleaning System 2019 SIGMOD 5.4868307e-05
7,606 Data Imputation with Limited Data Redundancy Using Data Lakes 2025 VLDB 5.4698748e-05
7,667 MisDetect: Iterative Mislabel Detection using Early Loss 2024 VLDB 5.4565877e-05
7,723 ReStore - Neural Data Completion for Relational Databases 2021 SIGMOD 5.4534466e-05
7,860 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.422643e-05
7,870 CoClean: Collaborative Data Cleaning 2020 SIGMOD 5.4200227e-05
7,884 Learning Over Dirty Data Without Cleaning 2020 SIGMOD 5.4169982e-05
7,892 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 5.4156936e-05
8,084 Evaluating Top-k Queries with Inconsistency Degrees 2020 VLDB 5.3751435e-05
8,248 Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness 2024 VLDB 5.354459e-05
8,298 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.3437127e-05
8,301 The Computation of Optimal Subset Repairs 2020 VLDB 5.3433509e-05
8,352 ICARUS: Minimizing Human Effort in Iterative Data Completion 2018 VLDB 5.3323688e-05
8,420 Deducing Certain Fixes to Graphs 2019 VLDB 5.3198062e-05
8,435 SHiFT: An Efficient, Flexible Search Engine for Transfer Learning 2023 VLDB 5.3161281e-05
8,565 Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil? 2021 SIGMOD 5.2996639e-05
8,723 From Papers to Practice: The openclean Open-Source Data Cleaning Library 2021 VLDB 5.2705676e-05
8,784 Exploratory Training: When Annotators Learn About Data 2023 SIGMOD 5.2640635e-05
8,878 Machine Learning Meets Big Spatial Data 2019 VLDB 5.2449044e-05
8,881 Rapidash: Efficient Detection of Constraint Violations 2024 VLDB 5.2442249e-05
8,915 FastPDB: Towards Bag-Probabilistic Queries at Interactive Speeds 2025 SIGMOD 5.2361195e-05
9,009 nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems 2024 VLDB 5.2245336e-05
9,035 The Cost of Representation by Subset Repairs 2025 VLDB 5.2191717e-05
9,263 Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables 2025 SIGMOD 5.1860131e-05
9,329 DataDiff: User-Interpretable Data Transformation Summaries for Collaborative Data Analysis 2018 SIGMOD 5.1800142e-05
9,345 VerifAI: Verified Generative AI 2024 CIDR 5.1769528e-05
9,408 Query-Guided Resolution in Uncertain Databases 2023 SIGMOD 5.1672232e-05
9,419 Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise 2019 VLDB 5.1672232e-05
9,454 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 5.1607878e-05
9,496 ZIP: Lazy Imputation during Query Processing 2024 VLDB 5.1540002e-05
9,634 GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models 2024 SIGMOD 5.1354312e-05
9,645 Discovering Top-k Rules using Subjective and Objective Criteria 2023 SIGMOD 5.1332977e-05
9,734 Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation 2021 CIDR 5.1195412e-05
9,758 DataVinci: Learning Syntactic and Semantic String Repairs 2025 SIGMOD 5.115551e-05
9,841 Incremental Detection of Denial Constraint Violations 2025 VLDB 5.1064323e-05
9,847 Making It Tractable to Catch Duplicates and Conflicts in Graphs 2023 SIGMOD 5.1064323e-05
9,849 Lingua Manga: A Generic Large Language Model Centric System for Data Curation 2023 VLDB 5.1064323e-05
9,914 MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data 2024 VLDB 5.0983269e-05
10,068 Don’t Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data 2022 VLDB 5.0742132e-05
10,146 Efficient Differential Dependency Discovery 2024 VLDB 5.0597449e-05
10,151 EasyDR: A Human-in-the-loop Error Detection&Repair Platform for Holistic Table Cleaning 2022 VLDB 5.0597449e-05
10,218 In-Database Data Imputation 2024 SIGMOD 5.0461625e-05
10,223 Discovering Top-k Relevant and Diversified Rules 2024 SIGMOD 5.0460607e-05
10,224 Reptile: Aggregation-level Explanations for Hierarchical Data 2022 SIGMOD 5.0460607e-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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