| 624 |
Data Lake Management: Challenges and Opportunities |
2019 |
VLDB |
0.00015476813 |
| 1,293 |
Finding Related Tables in Data Lakes for Interactive Data Science |
2020 |
SIGMOD |
0.00011144991 |
| 1,854 |
Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning |
2023 |
VLDB |
9.4961138e-05 |
| 1,929 |
CHORUS: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
9.3551286e-05 |
| 2,378 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
8.5495442e-05 |
| 2,927 |
Organizing Data Lakes for Navigation |
2020 |
SIGMOD |
7.8407133e-05 |
| 3,092 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
7.6548729e-05 |
| 4,159 |
Integrating Data Lake Tables |
2023 |
VLDB |
6.7687144e-05 |
| 4,411 |
LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes |
2024 |
VLDB |
6.6089506e-05 |
| 4,499 |
Automating Exploratory Data Analysis via Machine Learning: An Overview |
2020 |
SIGMOD |
6.5731941e-05 |
| 4,558 |
Databases Unbound: Querying All of the World’s Bytes with AI |
2024 |
VLDB |
6.5333125e-05 |
| 5,018 |
Discovering Related Data At Scale |
2021 |
VLDB |
6.3107365e-05 |
| 5,100 |
Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V |
2023 |
VLDB |
6.271266e-05 |
| 5,279 |
MATE: Multi-Attribute Table Extraction |
2022 |
VLDB |
6.1973533e-05 |
| 5,322 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
6.1809951e-05 |
| 5,418 |
Towards Distribution-aware Query Answering in Data Markets |
2022 |
VLDB |
6.1370792e-05 |
| 5,438 |
Eraser: Eliminating Performance Regression on Learned Query Optimizer |
2024 |
VLDB |
6.1278045e-05 |
| 5,533 |
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs |
2021 |
SIGMOD |
6.0906707e-05 |
| 5,610 |
Responsible Data Integration: Next-generation Challenges |
2022 |
SIGMOD |
6.0660772e-05 |
| 5,704 |
Data Discovery in Data Lakes: Operations, Indexes, Systems |
2025 |
VLDB |
6.0286769e-05 |
| 6,186 |
Causal Data Integration |
2023 |
VLDB |
5.8559807e-05 |
| 6,493 |
Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data |
2024 |
SIGMOD |
5.7647249e-05 |
| 7,164 |
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses |
2023 |
CIDR |
5.5934028e-05 |
| 7,199 |
Cross Modal Data Discovery over Structured and Unstructured Data Lakes |
2023 |
VLDB |
5.5864204e-05 |
| 7,531 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
5.4994676e-05 |
| 7,771 |
LakeCompass: An End-to-End System for Data Maintenance, Search and Analysis in Data Lakes |
2024 |
VLDB |
5.453953e-05 |
| 8,535 |
A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science |
2021 |
VLDB |
5.3200311e-05 |
| 8,582 |
OmniMatch: Joinability Discovery in Data Products |
2025 |
VLDB |
5.3097022e-05 |
| 8,974 |
Effective Entity Augmentation By Querying External Data Sources |
2023 |
VLDB |
5.2457737e-05 |
| 8,984 |
DataLoom: Simplifying Data Loading with LLMs |
2024 |
VLDB |
5.2428922e-05 |
| 9,078 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
5.2258409e-05 |
| 9,252 |
R2D2: Reducing Redundancy and Duplication in Data Lakes |
2023 |
SIGMOD |
5.2032182e-05 |
| 9,257 |
Data Lakes Empowered by Knowledge Graph Technologies |
2021 |
SIGMOD |
5.2032182e-05 |
| 10,028 |
CaJaDE: Explaining Query Results by Augmenting Provenance with Context |
2022 |
VLDB |
5.0910813e-05 |
| 10,344 |
QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes |
2025 |
VLDB |
5.0176429e-05 |
| 10,489 |
LSHAlign: All-Pair Near-Duplicate Text Alignment via LSH |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,510 |
Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,606 |
Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,631 |
AutoDDG: Automated Dataset Description Generation using Large Language Models |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,684 |
Qualitative Join Discovery in Data Lakes using Examples |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,826 |
FedAugment: Table Augmentation Search over Decentralized Data Repositories |
2026 |
VLDB |
4.9769913e-05 |
| 10,847 |
EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries |
2026 |
VLDB |
4.9769913e-05 |
| 10,900 |
Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications |
2026 |
VLDB |
4.9769913e-05 |
| 10,903 |
MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery |
2026 |
VLDB |
4.9769913e-05 |
| 11,047 |
Semantic Data Systems: From Data Management to Data Understanding |
2026 |
VLDB |
4.9769913e-05 |
| 11,209 |
Table Overlap Estimation through Graph Embeddings |
2025 |
SIGMOD |
4.9769913e-05 |
| 11,264 |
Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index |
2025 |
VLDB |
4.9769913e-05 |
| 11,331 |
LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes |
2025 |
VLDB |
4.9769913e-05 |
| 11,362 |
Suna: Scalable Causal Confounder Discovery over Relational Data |
2025 |
VLDB |
4.9769913e-05 |
| 11,419 |
TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery |
2025 |
VLDB |
4.9769913e-05 |