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)
Incoming Non-self Citations Over Time
Authors
- 1. Saravanan Thirumuruganathan (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 2. Laure Berti-Equille (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 3. Mourad Ouzzani (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 4. Jorge-Arnulfo Quiane-Ruiz (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 5. Nan Tang (Hamad Bin Khalifa University; Qatar Computing Research Institute)
BibTeX Citation
@inproceedings{thirumuruganathan_sigmod17,
title = {{UGuide – User-Guided Discovery of FD-Detectable Errors}},
author = {Thirumuruganathan, Saravanan and Berti-Equille, Laure and Ouzzani, Mourad and Quiane-Ruiz, Jorge-Arnulfo and Tang, Nan},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3064024},
url = {https://dl.acm.org/doi/10.1145/3035918.3064024},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 13 of 13 citing papers.
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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 |
|---|---|---|---|---|
| 350 | Discovering Denial Constraints | 2013 | VLDB | 0.00020253521 |
| 649 | Discovering Data Quality Rules | 2008 | VLDB | 0.00015149865 |
| 697 | NADEEF: A Commodity Data Cleaning System | 2013 | SIGMOD | 0.00014694048 |
| 716 | Guided Data Repair | 2011 | VLDB | 0.00014553463 |
| 727 | Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms | 2015 | VLDB | 0.00014443394 |
| 1,344 | Detecting Data Errors: Where are we and what needs to be done? | 2016 | VLDB | 0.00010956518 |
| 1,395 | Data Profiling with Metanome | 2015 | VLDB | 0.00010794808 |
| 2,051 | Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms | 2016 | VLDB | 9.1199511e-05 |
| 2,403 | A Revival of Integrity Constraints for Data Cleaning | 2008 | VLDB | 8.5187113e-05 |
| 4,226 | Scalable Discovery of Unique Column Combinations | 2014 | VLDB | 6.7183259e-05 |
| 4,246 | Divide & Conquer-based Inclusion Dependency Discovery | 2015 | VLDB | 6.7061689e-05 |
| 9,518 | RDFind: Scalable Conditional Inclusion Dependency Discovery in RDF Datasets | 2016 | SIGMOD | 5.1682969e-05 |
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