ANMAT: Automatic Knowledge Discovery and Error Detection through Pattern Functional Dependencies
Summary: PFDs fuse patterns with integrity constraints to model partial-value dependencies across attributes, extending FDs. ANMAT automates PFD discovery on dirty data and flags errors via PFD violations, catching issues missed by existing approaches. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Abdulhakim Qahtan
- 2. Nan Tang
- 3. Mourad Ouzzani
- 4. Yang Cao
- 5. Michael Stonebraker
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,096 | Auto-Transform: Learning-to-Transform by Patterns | 2020 | VLDB | 5.6960764e-05 |
| 5,203 | Pattern Functional Dependencies for Data Cleaning | 2020 | VLDB | 5.628087e-05 |
| 7,840 | Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes | 2021 | SIGMOD | 4.6337164e-05 |
| 7,927 | CoCo: Interactive Exploration of Conformance Constraints for Data Understanding and Data Cleaning | 2021 | SIGMOD | 4.6100307e-05 |
| 9,697 | ExTuNe: Explaining Tuple Non-conformance | 2020 | SIGMOD | 4.2981069e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,507 | Auto-Detect: Data-Driven Error Detection in Tables | 2018 | SIGMOD | 8.6254741e-05 |
| 3,000 | BigDansing: A System for Big Data Cleansing | 2015 | SIGMOD | 7.7447724e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,647 | Discovering Functional Dependencies through Hitting Set Enumeration | 2024 | SIGMOD | 4.3067693e-05 |
| 10,549 | Discovering Approximate Inclusion Dependencies | 2025 | VLDB | 4.1905499e-05 |
| 700 | Reasoning about Record Matching Rules | 2009 | VLDB | 0.00017927576 |
| 1,047 | Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms | 2015 | VLDB | 0.00014442219 |
| 10,595 | Efficient Discovery of Relaxed Functional Dependencies | 2025 | VLDB | 4.1905499e-05 |
| 11,550 | Making DBMSes Dependency-Aware | 2020 | CIDR | 4.1905499e-05 |
| 3,977 | UGuide – User-Guided Discovery of FD-Detectable Errors | 2017 | SIGMOD | 6.5670094e-05 |
| 733 | Discovering Data Quality Rules | 2008 | VLDB | 0.00017428132 |
| 890 | A Hybrid Approach to Functional Dependency Discovery | 2016 | SIGMOD | 0.00015542177 |
| 5,203 | Pattern Functional Dependencies for Data Cleaning | 2020 | VLDB | 5.628087e-05 |