| 7,076 |
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses |
2024 |
VLDB |
5.5909675e-05 |
| 7,194 |
DataPrism: Exposing Disconnect between Data and Systems |
2022 |
SIGMOD |
5.573413e-05 |
| 7,272 |
Akane: Perplexity-Guided Time Series Data Cleaning |
2024 |
SIGMOD |
5.5530425e-05 |
| 7,310 |
Data Civilizer 2.0: A Holistic Framework for Data Preparation and Analytics |
2019 |
VLDB |
5.5432586e-05 |
| 7,438 |
Data Integration and Machine Learning: A Natural Synergy |
2018 |
VLDB |
5.5123601e-05 |
| 7,496 |
Fast Detection of Denial Constraint Violations |
2022 |
VLDB |
5.4968024e-05 |
| 7,527 |
PIClean: A Probabilistic and Interactive Data Cleaning System |
2019 |
SIGMOD |
5.4868307e-05 |
| 7,606 |
Data Imputation with Limited Data Redundancy Using Data Lakes |
2025 |
VLDB |
5.4698748e-05 |
| 7,667 |
MisDetect: Iterative Mislabel Detection using Early Loss |
2024 |
VLDB |
5.4565877e-05 |
| 7,723 |
ReStore - Neural Data Completion for Relational Databases |
2021 |
SIGMOD |
5.4534466e-05 |
| 7,860 |
ExDRa: Exploratory Data Science on Federated Raw Data |
2021 |
SIGMOD |
5.422643e-05 |
| 7,870 |
CoClean: Collaborative Data Cleaning |
2020 |
SIGMOD |
5.4200227e-05 |
| 7,884 |
Learning Over Dirty Data Without Cleaning |
2020 |
SIGMOD |
5.4169982e-05 |
| 7,892 |
Rock: Cleaning Data by Embedding ML in Logic Rules |
2024 |
SIGMOD |
5.4156936e-05 |
| 8,084 |
Evaluating Top-k Queries with Inconsistency Degrees |
2020 |
VLDB |
5.3751435e-05 |
| 8,248 |
Sparcle: Boosting the Accuracy of Data Cleaning Systems through Spatial Awareness |
2024 |
VLDB |
5.354459e-05 |
| 8,298 |
Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale |
2022 |
VLDB |
5.3437127e-05 |
| 8,301 |
The Computation of Optimal Subset Repairs |
2020 |
VLDB |
5.3433509e-05 |
| 8,352 |
ICARUS: Minimizing Human Effort in Iterative Data Completion |
2018 |
VLDB |
5.3323688e-05 |
| 8,420 |
Deducing Certain Fixes to Graphs |
2019 |
VLDB |
5.3198062e-05 |
| 8,435 |
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning |
2023 |
VLDB |
5.3161281e-05 |
| 8,565 |
Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil? |
2021 |
SIGMOD |
5.2996639e-05 |
| 8,723 |
From Papers to Practice: The openclean Open-Source Data Cleaning Library |
2021 |
VLDB |
5.2705676e-05 |
| 8,784 |
Exploratory Training: When Annotators Learn About Data |
2023 |
SIGMOD |
5.2640635e-05 |
| 8,878 |
Machine Learning Meets Big Spatial Data |
2019 |
VLDB |
5.2449044e-05 |
| 8,881 |
Rapidash: Efficient Detection of Constraint Violations |
2024 |
VLDB |
5.2442249e-05 |
| 8,915 |
FastPDB: Towards Bag-Probabilistic Queries at Interactive Speeds |
2025 |
SIGMOD |
5.2361195e-05 |
| 9,009 |
nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems |
2024 |
VLDB |
5.2245336e-05 |
| 9,035 |
The Cost of Representation by Subset Repairs |
2025 |
VLDB |
5.2191717e-05 |
| 9,263 |
Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables |
2025 |
SIGMOD |
5.1860131e-05 |
| 9,329 |
DataDiff: User-Interpretable Data Transformation Summaries for Collaborative Data Analysis |
2018 |
SIGMOD |
5.1800142e-05 |
| 9,345 |
VerifAI: Verified Generative AI |
2024 |
CIDR |
5.1769528e-05 |
| 9,408 |
Query-Guided Resolution in Uncertain Databases |
2023 |
SIGMOD |
5.1672232e-05 |
| 9,419 |
Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise |
2019 |
VLDB |
5.1672232e-05 |
| 9,454 |
Towards Observability for Production Machine Learning Pipelines |
2022 |
VLDB |
5.1607878e-05 |
| 9,496 |
ZIP: Lazy Imputation during Query Processing |
2024 |
VLDB |
5.1540002e-05 |
| 9,634 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
5.1354312e-05 |
| 9,645 |
Discovering Top-k Rules using Subjective and Objective Criteria |
2023 |
SIGMOD |
5.1332977e-05 |
| 9,734 |
Bootleg: Chasing the Tail with Self-Supervised Named Entity Disambiguation |
2021 |
CIDR |
5.1195412e-05 |
| 9,758 |
DataVinci: Learning Syntactic and Semantic String Repairs |
2025 |
SIGMOD |
5.115551e-05 |
| 9,841 |
Incremental Detection of Denial Constraint Violations |
2025 |
VLDB |
5.1064323e-05 |
| 9,847 |
Making It Tractable to Catch Duplicates and Conflicts in Graphs |
2023 |
SIGMOD |
5.1064323e-05 |
| 9,849 |
Lingua Manga: A Generic Large Language Model Centric System for Data Curation |
2023 |
VLDB |
5.1064323e-05 |
| 9,914 |
MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data |
2024 |
VLDB |
5.0983269e-05 |
| 10,068 |
Don’t Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data |
2022 |
VLDB |
5.0742132e-05 |
| 10,146 |
Efficient Differential Dependency Discovery |
2024 |
VLDB |
5.0597449e-05 |
| 10,151 |
EasyDR: A Human-in-the-loop Error Detection&Repair Platform for Holistic Table Cleaning |
2022 |
VLDB |
5.0597449e-05 |
| 10,218 |
In-Database Data Imputation |
2024 |
SIGMOD |
5.0461625e-05 |
| 10,223 |
Discovering Top-k Relevant and Diversified Rules |
2024 |
SIGMOD |
5.0460607e-05 |
| 10,224 |
Reptile: Aggregation-level Explanations for Hierarchical Data |
2022 |
SIGMOD |
5.0460607e-05 |