| 329 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00027301488 |
| 516 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00021194444 |
| 1,895 |
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning |
2020 |
VLDB |
0.00010174634 |
| 2,122 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.4905306e-05 |
| 2,759 |
Complaint-driven Training Data Debugging for Query 2.0 |
2020 |
SIGMOD |
8.1646193e-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 |
| 3,448 |
Approximate Denial Constraints |
2020 |
VLDB |
7.081095e-05 |
| 3,716 |
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale |
2022 |
SIGMOD |
6.8170433e-05 |
| 4,129 |
A Statistical Perspective on Discovering Functional Dependencies in Noisy Data |
2020 |
SIGMOD |
6.4208557e-05 |
| 4,423 |
PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models |
2020 |
SIGMOD |
6.1925724e-05 |
| 5,096 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
5.6960764e-05 |
| 5,227 |
Enabling SQL-based Training Data Debugging for Federated Learning |
2022 |
VLDB |
5.6156523e-05 |
| 5,974 |
Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond |
2021 |
SIGMOD |
5.2458154e-05 |
| 6,081 |
The Fast and the Private: Task-based Dataset Search |
2024 |
CIDR |
5.2179192e-05 |
| 6,139 |
Finding Label and Model Errors in Perception Data With Learned Observation Assertions |
2022 |
SIGMOD |
5.1893488e-05 |
| 6,188 |
Semi-Supervised Data Cleaning with Raha and Baran |
2021 |
CIDR |
5.1607275e-05 |
| 6,691 |
Parallel Discrepancy Detection and Incremental Detection |
2021 |
VLDB |
4.9573939e-05 |
| 7,702 |
ExDRa: Exploratory Data Science on Federated Raw Data |
2021 |
SIGMOD |
4.6689015e-05 |
| 7,840 |
Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes |
2021 |
SIGMOD |
4.6337164e-05 |
| 8,096 |
Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications |
2023 |
SIGMOD |
4.583522e-05 |
| 8,253 |
Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines |
2023 |
SIGMOD |
4.5444167e-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 |
| 9,354 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
4.3484715e-05 |
| 9,362 |
Discovering Top-k Rules using Subjective and Objective Criteria |
2023 |
SIGMOD |
4.3472627e-05 |
| 9,395 |
DataVinci: Learning Syntactic and Semantic String Repairs |
2025 |
SIGMOD |
4.3399748e-05 |
| 9,439 |
Rock: Cleaning Data by Embedding ML in Logic Rules |
2024 |
SIGMOD |
4.3389137e-05 |
| 9,489 |
Making It Tractable to Catch Duplicates and Conflicts in Graphs |
2023 |
SIGMOD |
4.3300131e-05 |
| 9,560 |
MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data |
2024 |
VLDB |
4.3212967e-05 |
| 9,776 |
Data Augmentation for ML-driven Data Preparation and Integration |
2021 |
VLDB |
4.2815042e-05 |
| 9,849 |
Reptile: Aggregation-level Explanations for Hierarchical Data |
2022 |
SIGMOD |
4.2680295e-05 |
| 9,962 |
Parallel Rule Discovery from Large Datasets by Sampling |
2022 |
SIGMOD |
4.2254157e-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 |
| 10,606 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
4.1905499e-05 |
| 10,719 |
DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees |
2025 |
VLDB |
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 |
| 11,003 |
MisDetect: Iterative Mislabel Detection using Early Loss |
2024 |
VLDB |
4.1905499e-05 |
| 11,140 |
Generalizable Data Cleaning of Tabular Data in Latent Space |
2024 |
VLDB |
4.1905499e-05 |
| 11,371 |
PGE: Robust Product Graph Embedding Learning for Error Detection |
2022 |
VLDB |
4.1905499e-05 |