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Combining Quantitative and Logical Data Cleaning

Summary: Synergizes quantitative data cleaning (statistical distortion via EMD) with logical data cleaning using metric functional dependencies to detect and repair quality problems. Key results: linear-time MFD inference; NP-hardness of distortion-minimal repairs; efficient set-minimal repair with axiomatization; empirical distortion gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4dcba6336a933309
Venue
VLDB
Year
2016
Pagerank
9.10022e-05
Overall Rank
2,056 | 86.22%
DOI
10.14778/2850583.2850584
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{prokoshyna_vldb16,
        title = {{Combining Quantitative and Logical Data Cleaning}},
        author = {Prokoshyna, Nataliya and Szlichta, Jaroslaw and Chiang, Fei and Miller, Renée J. and Srivastava, Divesh},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {4},
        pages = {300--311},
        doi = {10.14778/2850583.2850584},
        url = {https://doi.org/10.14778/2850583.2850584},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 19 of 19 citing papers.

Rank Citing Paper Year Venue Pagerank
853 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013437314
1,306 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00011076619
1,347 Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020 VLDB 0.00010947547
1,993 RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation 2021 VLDB 9.2224853e-05
5,658 Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks 2023 VLDB 6.0309825e-05
6,608 Explain3D: Explaining Disagreements in Disjoint Datasets 2019 VLDB 5.7187078e-05
6,753 On Multiple Semantics for Declarative Database Repairs 2020 SIGMOD 5.673161e-05
8,248 Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness 2024 VLDB 5.354459e-05
8,306 Online Topic-Aware Entity Resolution Over Incomplete Data Streams 2021 SIGMOD 5.3426557e-05
8,420 Deducing Certain Fixes to Graphs 2019 VLDB 5.3198062e-05
9,454 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 5.1607878e-05
10,146 Efficient Differential Dependency Discovery 2024 VLDB 5.0597449e-05
10,603 Guardrail: Automated Integrity Constraint Synthesis From Noisy Data 2026 SIGMOD 4.9605343e-05
11,400 Extensible and Robust Evaluation of Similarity Queries 2025 VLDB 4.9605343e-05
11,751 LinCQA: Faster Consistent Query Answering with Linear Time Guarantees 2023 SIGMOD 4.9605343e-05
12,009 Contextual Data Cleaning with Ontology FDs 2021 SIGMOD 4.9605343e-05
12,088 Quality of Sentiment Analysis Tools: The Reasons of Inconsistency 2021 VLDB 4.9605343e-05
12,259 Catching Numeric Inconsistencies in Graphs 2018 SIGMOD 4.9605343e-05
12,386 BART in Action: Error Generation and Empirical Evaluations of Data-Cleaning Systems 2016 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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