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Detecting Data Errors: Where are we and what needs to be done?

Summary: Empirical study: data-cleaning tools miss large portions of real-world errors and have robustness gaps. Proposes multi-tool workflow to boost coverage with less verification; notes domain-specific tools and enrichment, but some errors remain undetectable. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11574
Venue
VLDB
Year
2016
Pagerank
0.00011064851
Overall Rank
1,351 | 90.74%
DOI
10.14778/2994509.2994518

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{abedjan_vldb16,
        title = {{Detecting Data Errors: Where are we and what needs to be done?}},
        author = {Abedjan, Ziawasch and Chu, Xu and Deng, Dong and Fernandez, Raul Castro and Ilyas, Ihab F. and Ouzzani, Mourad and Papotti, Paolo and Stonebraker, Michael and Tang, Nan},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {12},
        pages = {993--1004},
        doi = {10.14778/2994509.2994518},
        url = {https://doi.org/10.14778/2994509.2994518},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 49 of 49 citing papers.

Rank Citing Paper Year Venue Pagerank
112 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00032801121
420 Can Foundation Models Wrangle Your Data? 2023 VLDB 0.00018789852
946 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013054126
963 The Data Civilizer System 2017 CIDR 0.00012935145
1,402 Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks 2020 SIGMOD 0.00010888094
1,465 Synthesizing Entity Matching Rules by Examples 2018 VLDB 0.00010689571
1,476 Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020 VLDB 0.00010659277
2,019 RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation 2021 VLDB 9.2983994e-05
2,297 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 8.7897221e-05
2,584 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.3783546e-05
2,728 Uni-Detect: A Unified Approach to Automated Error Detection in Tables 2019 SIGMOD 8.1995954e-05
2,744 Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks 2020 SIGMOD 8.1781662e-05
3,004 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 7.8608629e-05
3,147 Auto-Detect: Data-Driven Error Detection in Tables 2018 SIGMOD 7.7077175e-05
3,380 UGuide – User-Guided Discovery of FD-Detectable Errors 2017 SIGMOD 7.457539e-05
3,580 Automatic Data Repair: Are We Ready to Deploy? 2024 VLDB 7.2888516e-05
4,412 Auto-Transform: Learning-to-Transform by Patterns 2020 VLDB 6.7168614e-05
4,757 Pattern Functional Dependencies for Data Cleaning 2020 VLDB 6.5220005e-05
4,835 Adaptive Data Augmentation for Supervised Learning over Missing Data 2021 VLDB 6.486592e-05
4,959 QFix: Diagnosing Errors through Query Histories 2017 SIGMOD 6.4283324e-05
5,291 DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data 2023 SIGMOD 6.2801343e-05
5,466 SchemaPile: A Large Collection of Relational Database Schemas 2024 SIGMOD 6.2075052e-05
5,518 Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks 2023 VLDB 6.1885722e-05
5,835 Semi-Supervised Data Cleaning with Raha and Baran 2021 CIDR 6.0720263e-05
5,931 Your notebook is not crumby enough, REPLace it 2020 CIDR 6.0369708e-05
6,544 Properties of Inconsistency Measures for Databases 2021 SIGMOD 5.8461093e-05
7,314 Time Series Data Validity 2023 SIGMOD 5.6471526e-05
7,387 PIClean: A Probabilistic and Interactive Data Cleaning System 2019 SIGMOD 5.6270554e-05
8,197 SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions 2024 CIDR 5.4691464e-05
8,594 Exploratory Training: When Annotators Learn About Data 2023 SIGMOD 5.4053095e-05
8,686 Rapidash: Efficient Detection of Constraint Violations 2024 VLDB 5.3849387e-05
8,705 Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment 2019 SIGMOD 5.3807913e-05
8,914 CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning 2024 SIGMOD 5.3483178e-05
9,177 VerifAI: Verified Generative AI 2024 CIDR 5.3078984e-05
9,206 A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets 2017 VLDB 5.3058708e-05
9,245 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 5.2992628e-05
9,437 GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models 2024 SIGMOD 5.2687567e-05
9,495 Debugging Large-Scale Data Science Pipelines using Dagger 2020 VLDB 5.2616335e-05
9,550 Data Imputation with Limited Data Redundancy Using Data Lakes 2025 VLDB 5.2528121e-05
9,653 CoClean: Collaborative Data Cleaning 2020 SIGMOD 5.2425585e-05
9,993 In-Database Data Imputation 2024 SIGMOD 5.1815618e-05
10,080 Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search 2024 VLDB 5.158939e-05
10,131 Towards Scalable Visual Data Wrangling via Direct Manipulation 2026 CIDR 5.093636e-05
10,322 Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints 2026 SIGMOD 5.093636e-05
10,744 Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data 2025 SIGMOD 5.093636e-05
10,966 UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow 2025 VLDB 5.093636e-05
11,048 Demonstrating Matelda for Multi-Table Error Detection 2025 VLDB 5.093636e-05
11,417 Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet 2023 SIGMOD 5.093636e-05
11,727 GEDet: Detecting Erroneous Nodes with A Few Examples 2021 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

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