Learning Over Dirty Data Without Cleaning

Summary: DLearn learns directly from dirty data without cleaning, bypassing data-repair bottlenecks. It leverages database constraints to infer relational models that summarize patterns across all plausible clean versions; empirical evaluation on large real-world datasets shows accuracy and efficiency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h4094dc02503a4092
Venue: SIGMOD
Year: 2020
Pagerank: 5.4330096e-05
Overall Rank: 7,880 | 47.04%
DOI: 10.1145/3318464.3389708

Incoming Non-self Citations Over Time

Authors

1. Jose Picado (Oregon State University)
2. John Davis (Oregon State University)
3. Arash Termehchy (Oregon State University)
4. Ga Young Lee (Oregon State University)

BibTeX Citation

@inproceedings{picado_sigmod20,
        title = {{Learning Over Dirty Data Without Cleaning}},
        author = {Picado, Jose and Davis, John and Termehchy, Arash and Lee, Ga Young},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389708},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389708},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,617	Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation	2022	SIGMOD	7.1540505e-05
9,623	GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models	2024	SIGMOD	5.1486163e-05
10,185	In-Database Data Imputation	2024	SIGMOD	5.0629036e-05
11,520	Certain and Approximately Certain Models for Statistical Learning	2024	SIGMOD	4.9769913e-05

Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
33	Consistent Query Answers in Inconsistent Databases	1999	PODS	0.00049326063
60	The Merge/Purge Problem for Large Databases	1995	SIGMOD	0.00039440583
104	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00033676943
188	A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification	2005	SIGMOD	0.00025861123
204	Declarative Data Cleaning: Language, Model, and Algorithms	2001	VLDB	0.00025179068
483	ActiveClean: Interactive Data Cleaning For Statistical Modeling	2016	VLDB	0.00017584249
501	Dependencies Revisited for Improving Data Quality	2008	PODS	0.00017273167
526	Improving Data Quality: Consistency and Accuracy	2007	VLDB	0.00016879
618	Reasoning about Record Matching Rules	2009	VLDB	0.0001553004
716	Guided Data Repair	2011	VLDB	0.00014546968
1,031	On Generating Near-Optimal Tableaux for Conditional Functional Dependencies	2008	VLDB	0.00012399252
1,044	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD	0.00012329478
1,211	Query From Examples: An Iterative, Data-Driven Approach to Query Construction	2015	VLDB	0.00011522028
2,679	FastQRE: Fast Query Reverse Engineering	2018	SIGMOD	8.1415698e-05
2,685	Learning and Verifying Quantified Boolean Queries by Example	2013	PODS	8.1334309e-05
4,279	QuickFOIL: Scalable Inductive Logic Programming	2015	VLDB	6.6873645e-05
5,525	MDedup: Duplicate Detection with Matching Dependencies	2020	VLDB	6.0927371e-05
5,852	Industry-Scale Duplicate Detection	2008	VLDB	5.9691287e-05
8,157	Schema Independent Relational Learning	2017	SIGMOD	5.387426e-05
8,848	Machine Learning for Data Management: Problems and Solutions	2018	SIGMOD	5.2642362e-05

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#	Overall Rank	Paper	Year	Venue
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3	3,264	Automatic Data Repair: Are We Ready to Deploy?	2024	VLDB
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5	13,754	Data Cleaning in the Era of Data Science: Challenges and Opportunities	2021	CIDR
6	650	Discovering Data Quality Rules	2008	VLDB
7	5,882	ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning	2016	SIGMOD
8	11,667	Generalizable Data Cleaning of Tabular Data in Latent Space	2024	VLDB
9	9,239	Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables	2025	SIGMOD
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