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: 5924
Venue: SIGMOD
Year: 2020
Pagerank: 4.6276013e-05
Overall Rank: 7,868 | 45.32%
DOI: 10.1145/3318464.3389708

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
4,970	Leva: Boosting Machine Learning Performance with Relational Embedding Data Augmentation	2022	SIGMOD	5.7900867e-05
9,354	GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models	2024	SIGMOD	4.3484715e-05
9,855	In-Database Data Imputation	2024	SIGMOD	4.2652623e-05
10,956	Certain and Approximately Certain Models for Statistical Learning	2024	SIGMOD	4.1905499e-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
49	Consistent Query Answers in Inconsistent Databases	1999	PODS	0.00067607389
67	The Merge/Purge Problem for Large Databases	1995	SIGMOD	0.00061419648
192	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00035692958
198	Declarative Data Cleaning: Language, Model, and Algorithms	2001	VLDB	0.0003505869
268	A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification	2005	SIGMOD	0.00029739054
560	Dependencies Revisited for Improving Data Quality	2008	PODS	0.0002012328
621	Improving Data Quality: Consistency and Accuracy	2007	VLDB	0.00018978331
700	Reasoning about Record Matching Rules	2009	VLDB	0.00017927576
788	ActiveClean: Interactive Data Cleaning For Statistical Modeling	2016	VLDB	0.00016618698
830	Guided Data Repair	2011	VLDB	0.00016125759
1,187	On Generating Near-Optimal Tableaux for Conditional Functional Dependencies	2008	VLDB	0.00013432048
1,456	Query From Examples: An Iterative, Data-Driven Approach to Query Construction	2015	VLDB	0.00011891284
1,629	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD	0.00011073148
2,751	Learning and Verifying Quantified Boolean Queries by Example	2013	PODS	8.1725194e-05
2,990	FastQRE: Fast Query Reverse Engineering	2018	SIGMOD	7.7727915e-05
3,349	QuickFOIL: Scalable Inductive Logic Programming	2015	VLDB	7.1889581e-05
5,235	Industry-Scale Duplicate Detection	2008	VLDB	5.6084247e-05
6,047	MDedup: Duplicate Detection with Matching Dependencies	2020	VLDB	5.2355891e-05
7,663	Schema Independent Relational Learning	2017	SIGMOD	4.6812239e-05
8,637	Machine Learning for Data Management: Problems and Solutions	2018	SIGMOD	4.4755972e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
4,664	PrivateClean: Data Cleaning and Differential Privacy	2016	SIGMOD	6.0058132e-05
7,233	CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning	2017	VLDB	4.788267e-05
3,397	Automatic Data Repair: Are We Ready to Deploy?	2024	VLDB	7.1386386e-05
621	Improving Data Quality: Consistency and Accuracy	2007	VLDB	0.00018978331
13,245	Data Cleaning in the Era of Data Science: Challenges and Opportunities	2021	CIDR	-
733	Discovering Data Quality Rules	2008	VLDB	0.00017428132
5,930	ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning	2016	SIGMOD	5.2632185e-05
11,140	Generalizable Data Cleaning of Tabular Data in Latent Space	2024	VLDB	4.1905499e-05
10,521	Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables	2025	SIGMOD	4.1905499e-05
1,629	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD	0.00011073148