| 624 |
Data Lake Management: Challenges and Opportunities |
2019 |
VLDB |
0.00015479826 |
| 1,293 |
Finding Related Tables in Data Lakes for Interactive Data Science |
2020 |
SIGMOD |
0.00011149857 |
| 1,852 |
Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning |
2023 |
VLDB |
9.5004635e-05 |
| 1,932 |
CHORUS: Foundation Models for Unified Data Discovery and Exploration |
2024 |
VLDB |
9.34643e-05 |
| 2,382 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
8.5458532e-05 |
| 2,926 |
Organizing Data Lakes for Navigation |
2020 |
SIGMOD |
7.8442582e-05 |
| 3,090 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
7.6584982e-05 |
| 4,159 |
Integrating Data Lake Tables |
2023 |
VLDB |
6.7717519e-05 |
| 4,409 |
LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes |
2024 |
VLDB |
6.6120807e-05 |
| 4,497 |
Automating Exploratory Data Analysis via Machine Learning: An Overview |
2020 |
SIGMOD |
6.5763072e-05 |
| 4,557 |
Databases Unbound: Querying All of the World’s Bytes with AI |
2024 |
VLDB |
6.5356905e-05 |
| 5,015 |
Discovering Related Data At Scale |
2021 |
VLDB |
6.3135569e-05 |
| 5,097 |
Explaining Dataset Changes for Semantic Data Versioning with Explain-Da-V |
2023 |
VLDB |
6.2742361e-05 |
| 5,276 |
MATE: Multi-Attribute Table Extraction |
2022 |
VLDB |
6.2002884e-05 |
| 5,332 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
6.1766186e-05 |
| 5,414 |
Towards Distribution-aware Query Answering in Data Markets |
2022 |
VLDB |
6.1399858e-05 |
| 5,456 |
Eraser: Eliminating Performance Regression on Learned Query Optimizer |
2024 |
VLDB |
6.1239873e-05 |
| 5,529 |
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs |
2021 |
SIGMOD |
6.0935553e-05 |
| 5,609 |
Responsible Data Integration: Next-generation Challenges |
2022 |
SIGMOD |
6.0689501e-05 |
| 5,701 |
Data Discovery in Data Lakes: Operations, Indexes, Systems |
2025 |
VLDB |
6.0315322e-05 |
| 6,183 |
Causal Data Integration |
2023 |
VLDB |
5.8587542e-05 |
| 6,491 |
Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data |
2024 |
SIGMOD |
5.7674551e-05 |
| 7,161 |
WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses |
2023 |
CIDR |
5.596048e-05 |
| 7,197 |
Cross Modal Data Discovery over Structured and Unstructured Data Lakes |
2023 |
VLDB |
5.5890662e-05 |
| 7,526 |
Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence |
2025 |
VLDB |
5.5020723e-05 |
| 7,762 |
LakeCompass: An End-to-End System for Data Maintenance, Search and Analysis in Data Lakes |
2024 |
VLDB |
5.456536e-05 |
| 8,528 |
A Demonstration of KGLac: A Data Discovery and Enrichment Platform for Data Science |
2021 |
VLDB |
5.3225503e-05 |
| 8,574 |
OmniMatch: Joinability Discovery in Data Products |
2025 |
VLDB |
5.312217e-05 |
| 8,964 |
Effective Entity Augmentation By Querying External Data Sources |
2023 |
VLDB |
5.2482562e-05 |
| 8,986 |
DataLoom: Simplifying Data Loading with LLMs |
2024 |
VLDB |
5.2428439e-05 |
| 9,069 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
5.2283159e-05 |
| 9,242 |
R2D2: Reducing Redundancy and Duplication in Data Lakes |
2023 |
SIGMOD |
5.2056825e-05 |
| 9,247 |
Data Lakes Empowered by Knowledge Graph Technologies |
2021 |
SIGMOD |
5.2056825e-05 |
| 10,023 |
CaJaDE: Explaining Query Results by Augmenting Provenance with Context |
2022 |
VLDB |
5.0934925e-05 |
| 10,337 |
QueryArtisan: Generating Data Manipulation Codes for Ad-hoc Analysis in Data Lakes |
2025 |
VLDB |
5.0200193e-05 |
| 10,478 |
LSHAlign: All-Pair Near-Duplicate Text Alignment via LSH |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,499 |
Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,595 |
Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,620 |
AutoDDG: Automated Dataset Description Generation using Large Language Models |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,673 |
Qualitative Join Discovery in Data Lakes using Examples |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,816 |
FedAugment: Table Augmentation Search over Decentralized Data Repositories |
2026 |
VLDB |
4.9793485e-05 |
| 10,837 |
EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries |
2026 |
VLDB |
4.9793485e-05 |
| 10,891 |
Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications |
2026 |
VLDB |
4.9793485e-05 |
| 10,894 |
MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery |
2026 |
VLDB |
4.9793485e-05 |
| 11,038 |
Semantic Data Systems: From Data Management to Data Understanding |
2026 |
VLDB |
4.9793485e-05 |
| 11,200 |
Table Overlap Estimation through Graph Embeddings |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,256 |
Birdie: Natural Language-Driven Table Discovery Using Differentiable Search Index |
2025 |
VLDB |
4.9793485e-05 |
| 11,323 |
LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes |
2025 |
VLDB |
4.9793485e-05 |
| 11,355 |
Suna: Scalable Causal Confounder Discovery over Relational Data |
2025 |
VLDB |
4.9793485e-05 |
| 11,413 |
TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery |
2025 |
VLDB |
4.9793485e-05 |