| 192 |
HoloClean: Holistic Data Repairs with Probabilistic Inference |
2017 |
VLDB |
0.00035692958 |
| 516 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00021194444 |
| 1,274 |
The Data Civilizer System |
2017 |
CIDR |
0.00012869297 |
| 1,340 |
HoloDetect: Few-Shot Learning for Error Detection |
2019 |
SIGMOD |
0.00012492795 |
| 1,821 |
Synthesizing Entity Matching Rules by Examples |
2018 |
VLDB |
0.00010406856 |
| 1,895 |
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning |
2020 |
VLDB |
0.00010174634 |
| 1,914 |
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks |
2020 |
SIGMOD |
0.00010111859 |
| 2,161 |
Uni-Detect: A Unified Approach to Automated Error Detection in Tables |
2019 |
SIGMOD |
9.4029915e-05 |
| 2,348 |
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation |
2021 |
VLDB |
8.9903659e-05 |
| 2,507 |
Auto-Detect: Data-Driven Error Detection in Tables |
2018 |
SIGMOD |
8.6254741e-05 |
| 2,759 |
Complaint-driven Training Data Debugging for Query 2.0 |
2020 |
SIGMOD |
8.1646193e-05 |
| 2,968 |
Raha: A Configuration-Free Error Detection System |
2019 |
SIGMOD |
7.7964476e-05 |
| 3,254 |
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks |
2020 |
SIGMOD |
7.3172324e-05 |
| 3,303 |
SCODED: Statistical Constraint Oriented Data Error Detection |
2020 |
SIGMOD |
7.2438671e-05 |
| 3,397 |
Automatic Data Repair: Are We Ready to Deploy? |
2024 |
VLDB |
7.1386386e-05 |
| 3,977 |
UGuide – User-Guided Discovery of FD-Detectable Errors |
2017 |
SIGMOD |
6.5670094e-05 |
| 5,026 |
Adaptive Data Augmentation for Supervised Learning over Missing Data |
2021 |
VLDB |
5.7451454e-05 |
| 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 |
| 5,439 |
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data |
2023 |
SIGMOD |
5.5034427e-05 |
| 5,454 |
QFix: Diagnosing Errors through Query Histories |
2017 |
SIGMOD |
5.4967096e-05 |
| 5,929 |
SchemaPile: A Large Collection of Relational Database Schemas |
2024 |
SIGMOD |
5.2635297e-05 |
| 6,188 |
Semi-Supervised Data Cleaning with Raha and Baran |
2021 |
CIDR |
5.1607275e-05 |
| 6,279 |
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks |
2023 |
VLDB |
5.1241232e-05 |
| 6,295 |
Your notebook is not crumby enough, REPLace it |
2020 |
CIDR |
5.1200006e-05 |
| 6,544 |
Properties of Inconsistency Measures for Databases |
2021 |
SIGMOD |
5.013741e-05 |
| 7,390 |
Time Series Data Validity |
2023 |
SIGMOD |
4.7383798e-05 |
| 7,565 |
PIClean: A Probabilistic and Interactive Data Cleaning System |
2019 |
SIGMOD |
4.7048523e-05 |
| 8,207 |
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions |
2024 |
CIDR |
4.5537604e-05 |
| 8,470 |
Rapidash: Efficient Detection of Constraint Violations |
2024 |
VLDB |
4.4993203e-05 |
| 8,588 |
Exploratory Training: When Annotators Learn About Data |
2023 |
SIGMOD |
4.4853244e-05 |
| 8,674 |
Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment |
2019 |
SIGMOD |
4.4659264e-05 |
| 8,739 |
CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning |
2024 |
SIGMOD |
4.4520434e-05 |
| 9,055 |
A Data Quality Metric (DQM): How to Estimate the Number of Undetected Errors in Data Sets |
2017 |
VLDB |
4.3997447e-05 |
| 9,073 |
VerifAI: Verified Generative AI |
2024 |
CIDR |
4.396857e-05 |
| 9,116 |
Towards Observability for Production Machine Learning Pipelines |
2022 |
VLDB |
4.3886184e-05 |
| 9,314 |
Debugging Large-Scale Data Science Pipelines using Dagger |
2020 |
VLDB |
4.3531179e-05 |
| 9,354 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
4.3484715e-05 |
| 9,481 |
Data Imputation with Limited Data Redundancy Using Data Lakes |
2025 |
VLDB |
4.3300131e-05 |
| 9,576 |
CoClean: Collaborative Data Cleaning |
2020 |
SIGMOD |
4.3207e-05 |
| 9,855 |
In-Database Data Imputation |
2024 |
SIGMOD |
4.2652623e-05 |
| 9,928 |
Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search |
2024 |
VLDB |
4.2470891e-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 |
| 10,473 |
Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data |
2025 |
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 |
| 10,826 |
Demonstrating Matelda for Multi-Table Error Detection |
2025 |
VLDB |
4.1905499e-05 |
| 11,218 |
Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet |
2023 |
SIGMOD |
4.1905499e-05 |
| 11,533 |
GEDet: Detecting Erroneous Nodes with A Few Examples |
2021 |
VLDB |
4.1905499e-05 |