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Horizon: Scalable Dependency-driven Data Cleaning
Summary: Horizon: scalable, dependency-driven FD repair. An end-to-end data-cleaning system that preserves the most frequent data patterns to boost accuracy, while delivering a linear-time repair algorithm that scales to millions of records and outperforms prior cleaners.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12429
- Venue
- VLDB
- Year
- 2021
- Pagerank
- 5.6553571e-05
- Overall Rank
- 5,150 | 64.21%
- DOI
-
10.14778/3476249.3476301
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 16 of 16 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 3,397 |
Automatic Data Repair: Are We Ready to Deploy? |
2024 |
VLDB |
7.1386386e-05 |
| 6,279 |
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks |
2023 |
VLDB |
5.1241232e-05 |
| 6,948 |
DataPrism: Exposing Disconnect between Data and Systems |
2022 |
SIGMOD |
4.8865863e-05 |
| 8,741 |
Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness |
2024 |
VLDB |
4.4520434e-05 |
| 9,043 |
Query-Guided Resolution in Uncertain Databases |
2023 |
SIGMOD |
4.3997447e-05 |
| 9,354 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
4.3484715e-05 |
| 9,439 |
Rock: Cleaning Data by Embedding ML in Logic Rules |
2024 |
SIGMOD |
4.3389137e-05 |
| 9,855 |
In-Database Data Imputation |
2024 |
SIGMOD |
4.2652623e-05 |
| 9,983 |
Towards Scalable Visual Data Wrangling via Direct Manipulation |
2026 |
CIDR |
4.1905499e-05 |
| 10,026 |
Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,213 |
Stress-Testing Causal Claims via Cardinality Repairs |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,730 |
UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow |
2025 |
VLDB |
4.1905499e-05 |
| 11,072 |
Hardware-Efficient Data Imputation through DBMS Extensibility |
2024 |
VLDB |
4.1905499e-05 |
| 11,140 |
Generalizable Data Cleaning of Tabular Data in Latent Space |
2024 |
VLDB |
4.1905499e-05 |
| 11,181 |
LinCQA: Faster Consistent Query Answering with Linear Time Guarantees |
2023 |
SIGMOD |
4.1905499e-05 |
| 11,225 |
Splitting Tuples of Mismatched Entities |
2023 |
SIGMOD |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 13 |
Mining Association Rules between Sets of Items in Large Databases |
1993 |
SIGMOD |
0.0010863639 |
| 192 |
HoloClean: Holistic Data Repairs with Probabilistic Inference |
2017 |
VLDB |
0.00035692958 |
| 268 |
A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification |
2005 |
SIGMOD |
0.00029739054 |
| 621 |
Improving Data Quality: Consistency and Accuracy |
2007 |
VLDB |
0.00018978331 |
| 879 |
Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes |
2013 |
SIGMOD |
0.00015649604 |
| 1,012 |
NADEEF: A Commodity Data Cleaning System |
2013 |
SIGMOD |
0.00014638349 |
| 1,187 |
On Generating Near-Optimal Tableaux for Conditional Functional Dependencies |
2008 |
VLDB |
0.00013432048 |
| 1,197 |
The LLUNATIC Data-Cleaning Framework |
2013 |
VLDB |
0.00013373177 |
| 1,274 |
The Data Civilizer System |
2017 |
CIDR |
0.00012869297 |
| 1,625 |
Sampling the Repairs of Functional Dependency Violations under Hard Constraints |
2010 |
VLDB |
0.0001109361 |
| 1,895 |
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning |
2020 |
VLDB |
0.00010174634 |
| 2,177 |
A Sample-and-Clean Framework for Fast and Accurate Query Processing on Dirty Data |
2014 |
SIGMOD |
9.371335e-05 |
| 2,271 |
Estimating the Confidence of Conditional Functional Dependencies |
2009 |
SIGMOD |
9.1467959e-05 |
| 2,642 |
Messing Up with BART: Error Generation for Evaluating Data-Cleaning Algorithms |
2016 |
VLDB |
8.3925184e-05 |
| 5,698 |
Dagger: A Data (not code) Debugger |
2020 |
CIDR |
5.3669165e-05 |
| 5,738 |
KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing |
2015 |
VLDB |
5.3454984e-05 |
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