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: 5401
Venue: SIGMOD
Year: 2017
Pagerank: 6.5670094e-05
Overall Rank: 3,977 | 72.37%
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
2,082	Efficient Discovery of Approximate Dependencies	2018	VLDB	9.5875364e-05
2,286	SMOKE: Fine-grained Lineage at Interactive Speed	2018	VLDB	9.102574e-05
4,129	A Statistical Perspective on Discovering Functional Dependencies in Noisy Data	2020	SIGMOD	6.4208557e-05
5,626	Explaining Repaired Data with CFDs	2018	VLDB	5.4032498e-05
7,769	ICARUS: Minimizing Human Effort in Iterative Data Completion	2018	VLDB	4.6520279e-05
8,588	Exploratory Training: When Annotators Learn About Data	2023	SIGMOD	4.4853244e-05
9,073	VerifAI: Verified Generative AI	2024	CIDR	4.396857e-05
9,748	Efficient Differential Dependency Discovery	2024	VLDB	4.2856385e-05
9,849	Reptile: Aggregation-level Explanations for Hierarchical Data	2022	SIGMOD	4.2680295e-05
10,406	User-Centric Property Graph Repairs	2025	SIGMOD	4.1905499e-05
10,849	Versatile Property Graph Transformations	2025	VLDB	4.1905499e-05
11,457	Contextual Data Cleaning with Ontology FDs	2021	SIGMOD	4.1905499e-05
11,716	Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications	2018	SIGMOD	4.1905499e-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
556	Discovering Denial Constraints	2013	VLDB	0.00020214701
733	Discovering Data Quality Rules	2008	VLDB	0.00017428132
830	Guided Data Repair	2011	VLDB	0.00016125759
1,012	NADEEF: A Commodity Data Cleaning System	2013	SIGMOD	0.00014638349
1,047	Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms	2015	VLDB	0.00014442219
1,403	Detecting Data Errors: Where are we and what needs to be done?	2016	VLDB	0.00012180046
1,627	Data Profiling with Metanome	2015	VLDB	0.0001108421
2,379	A Revival of Integrity Constraints for Data Cleaning	2008	VLDB	8.9331083e-05
2,642	Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms	2016	VLDB	8.3925184e-05
4,680	Scalable Discovery of Unique Column Combinations	2014	VLDB	5.9964535e-05
4,786	Divide & Conquer-based Inclusion Dependency Discovery	2015	VLDB	5.9185547e-05
9,180	RDFind: Scalable Conditional Inclusion Dependency Discovery in RDF Datasets	2016	SIGMOD	4.3793465e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
5,626	Explaining Repaired Data with CFDs	2018	VLDB	5.4032498e-05
1,625	Sampling the Repairs of Functional Dependency Violations under Hard Constraints	2010	VLDB	0.0001109361
3,198	Towards Dependable Data Repairing with Fixing Rules	2014	SIGMOD	7.4029546e-05
10,595	Efficient Discovery of Relaxed Functional Dependencies	2025	VLDB	4.1905499e-05
1,403	Detecting Data Errors: Where are we and what needs to be done?	2016	VLDB	0.00012180046
2,576	Discovery of Genuine Functional Dependencies from Relational Data with Missing Values	2018	VLDB	8.509121e-05
2,161	Uni-Detect: A Unified Approach to Automated Error Detection in Tables	2019	SIGMOD	9.4029915e-05
890	A Hybrid Approach to Functional Dependency Discovery	2016	SIGMOD	0.00015542177
10,797	FDepHunter: Harnessing Negative Examples to Expose Fakes and Reveal Ghosts	2025	VLDB	4.1905499e-05
733	Discovering Data Quality Rules	2008	VLDB	0.00017428132