| 623 |
Data Lake Management: Challenges and Opportunities |
2019 |
VLDB |
0.00015446839 |
| 1,268 |
Finding Related Tables in Data Lakes for Interactive Data Science |
2020 |
SIGMOD |
0.00011243615 |
| 1,742 |
Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning |
2023 |
VLDB |
9.7283207e-05 |
| 1,838 |
CHORUS: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
9.5195856e-05 |
| 2,370 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
8.5469172e-05 |
| 2,940 |
Organizing Data Lakes for Navigation |
2020 |
SIGMOD |
7.8206062e-05 |
| 3,093 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
7.6378811e-05 |
| 4,158 |
Integrating Data Lake Tables |
2023 |
VLDB |
6.7595989e-05 |
| 4,419 |
LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes |
2024 |
VLDB |
6.5905711e-05 |
| 4,519 |
Automating Exploratory Data Analysis via Machine Learning: An Overview |
2020 |
SIGMOD |
6.551459e-05 |
| 4,559 |
Databases Unbound: Querying All of the World’s Bytes with AI |
2024 |
VLDB |
6.5238675e-05 |
| 5,036 |
Discovering Related Data At Scale |
2021 |
VLDB |
6.2907736e-05 |
| 5,041 |
MATE: Multi-Attribute Table Extraction |
2022 |
VLDB |
6.2899676e-05 |
| 5,120 |
Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V |
2023 |
VLDB |
6.254003e-05 |
| 5,301 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
6.1761723e-05 |
| 5,435 |
Towards Distribution-aware Query Answering in Data Markets |
2022 |
VLDB |
6.1167862e-05 |
| 5,453 |
Eraser: Eliminating Performance Regression on Learned Query Optimizer |
2024 |
VLDB |
6.1077838e-05 |
| 5,556 |
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs |
2021 |
SIGMOD |
6.0705311e-05 |
| 5,622 |
Responsible Data Integration: Next-generation Challenges |
2022 |
SIGMOD |
6.0460189e-05 |
| 5,715 |
Data Discovery in Data Lakes: Operations, Indexes, Systems |
2025 |
VLDB |
6.0087424e-05 |
| 6,196 |
Causal Data Integration |
2023 |
VLDB |
5.8366172e-05 |
| 6,504 |
Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data |
2024 |
SIGMOD |
5.7456631e-05 |
| 7,107 |
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses |
2023 |
CIDR |
5.5818446e-05 |
| 7,217 |
Cross Modal Data Discovery over Structured and Unstructured Data Lakes |
2023 |
VLDB |
5.5679482e-05 |
| 7,548 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
5.481283e-05 |
| 7,785 |
LakeCompass: An End-to-End System for Data Maintenance, Search and Analysis in Data Lakes |
2024 |
VLDB |
5.4359188e-05 |
| 8,552 |
A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science |
2021 |
VLDB |
5.3024397e-05 |
| 8,599 |
OmniMatch: Joinability Discovery in Data Products |
2025 |
VLDB |
5.2921451e-05 |
| 8,994 |
Effective Entity Augmentation By Querying External Data Sources |
2023 |
VLDB |
5.2284279e-05 |
| 9,003 |
DataLoom: Simplifying Data Loading with LLMs |
2024 |
VLDB |
5.2256178e-05 |
| 9,098 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
5.208561e-05 |
| 9,276 |
R2D2: Reducing Redundancy and Duplication in Data Lakes |
2023 |
SIGMOD |
5.1860131e-05 |
| 9,281 |
Data Lakes Empowered by Knowledge Graph Technologies |
2021 |
SIGMOD |
5.1860131e-05 |
| 9,838 |
Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations |
2026 |
SIGMOD |
5.1064323e-05 |
| 10,066 |
CaJaDE: Explaining Query Results by Augmenting Provenance with Context |
2022 |
VLDB |
5.074247e-05 |
| 10,095 |
Table Overlap Estimation through Graph Embeddings |
2025 |
SIGMOD |
5.068372e-05 |
| 10,099 |
Determining the Largest Overlap between Tables |
2024 |
SIGMOD |
5.068372e-05 |
| 10,371 |
QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes |
2025 |
VLDB |
5.0010514e-05 |
| 10,380 |
Alignment-Guided Largest Table Overlap Size Estimation |
2027 |
SIGMOD |
4.9605343e-05 |
| 10,555 |
LSHAlign: All-Pair Near-Duplicate Text Alignment via LSH |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,576 |
Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,692 |
AutoDDG: Automated Dataset Description Generation using Large Language Models |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,745 |
Qualitative Join Discovery in Data Lakes using Examples |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,887 |
FedAugment: Table Augmentation Search over Decentralized Data Repositories |
2026 |
VLDB |
4.9605343e-05 |
| 10,908 |
EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries |
2026 |
VLDB |
4.9605343e-05 |
| 10,961 |
Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications |
2026 |
VLDB |
4.9605343e-05 |
| 10,964 |
MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery |
2026 |
VLDB |
4.9605343e-05 |
| 11,108 |
Semantic Data Systems: From Data Management to Data Understanding |
2026 |
VLDB |
4.9605343e-05 |
| 11,320 |
Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index |
2025 |
VLDB |
4.9605343e-05 |
| 11,385 |
LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes |
2025 |
VLDB |
4.9605343e-05 |