UGuide – User-Guided Discovery of FD-Detectable Errors

Summary: UGuide: end-to-end discovery of FD-detectable errors in dirty data by deriving approximate FDs and flagging suspect cells. With a constrained expert budget, it selects FDs, cells, or tuples to maximize error discovery via efficient interactive algorithms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5400
Venue: SIGMOD
Year: 2017
Pagerank: 6.5736462e-05
Overall Rank: 3,976 | 72.35%
DOI: 10.1145/3035918.3064024

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 13 of 13 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,077	Efficient Discovery of Approximate Dependencies	2018	VLDB	9.6001836e-05
2,280	SMOKE: Fine-grained Lineage at Interactive Speed	2018	VLDB	9.1111033e-05
4,127	A Statistical Perspective on Discovering Functional Dependencies in Noisy Data	2020	SIGMOD	6.4310458e-05
5,618	Explaining Repaired Data with CFDs	2018	VLDB	5.4079415e-05
7,766	ICARUS: Minimizing Human Effort in Iterative Data Completion	2018	VLDB	4.6564959e-05
8,590	Exploratory Training: When Annotators Learn About Data	2023	SIGMOD	4.4896282e-05
9,077	VerifAI: Verified Generative AI	2024	CIDR	4.4010762e-05
9,749	Efficient Differential Dependency Discovery	2024	VLDB	4.2897489e-05
9,849	Reptile: Aggregation-level Explanations for Hierarchical Data	2022	SIGMOD	4.2721228e-05
10,395	User-Centric Property Graph Repairs	2025	SIGMOD	4.1945683e-05
10,845	Versatile Property Graph Transformations	2025	VLDB	4.1945683e-05
11,454	Contextual Data Cleaning with Ontology FDs	2021	SIGMOD	4.1945683e-05
11,710	Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications	2018	SIGMOD	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
555	Discovering Denial Constraints	2013	VLDB	0.00020254908
732	Discovering Data Quality Rules	2008	VLDB	0.00017465093
833	Guided Data Repair	2011	VLDB	0.00016138432
1,012	NADEEF: A Commodity Data Cleaning System	2013	SIGMOD	0.0001464733
1,047	Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms	2015	VLDB	0.00014459715
1,612	Detecting Data Errors: Where are we and what needs to be done?	2016	VLDB	0.00011142794
1,625	Data Profiling with Metanome	2015	VLDB	0.00011094926
2,379	A Revival of Integrity Constraints for Data Cleaning	2008	VLDB	8.9392633e-05
2,638	Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms	2016	VLDB	8.399764e-05
4,682	Scalable Discovery of Unique Column Combinations	2014	VLDB	6.0022412e-05
4,784	Divide & Conquer-based Inclusion Dependency Discovery	2015	VLDB	5.9240851e-05
9,176	RDFind: Scalable Conditional Inclusion Dependency Discovery in RDF Datasets	2016	SIGMOD	4.383548e-05

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833	Guided Data Repair	2011	VLDB	0.00016138432
1,624	Sampling the Repairs of Functional Dependency Violations under Hard Constraints	2010	VLDB	0.00011099222
3,192	Towards Dependable Data Repairing with Fixing Rules	2014	SIGMOD	7.4095761e-05
10,587	Efficient Discovery of Relaxed Functional Dependencies	2025	VLDB	4.1945683e-05
1,612	Detecting Data Errors: Where are we and what needs to be done?	2016	VLDB	0.00011142794
2,574	Discovery of Genuine Functional Dependencies from Relational Data with Missing Values	2018	VLDB	8.5173637e-05
2,158	Uni-Detect: A Unified Approach to Automated Error Detection in Tables	2019	SIGMOD	9.4141354e-05
894	A Hybrid Approach to Functional Dependency Discovery	2016	SIGMOD	0.00015556428
10,791	FDepHunter: Harnessing Negative Examples to Expose Fakes and Reveal Ghosts	2025	VLDB	4.1945683e-05
732	Discovering Data Quality Rules	2008	VLDB	0.00017465093