| 320 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00021128745 |
| 1,064 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00012181459 |
| 1,374 |
Towards Scalable Dataframe Systems |
2020 |
VLDB |
0.00010862447 |
| 1,839 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
9.5187688e-05 |
| 1,858 |
Data Market Platforms: Trading Data Assets to Solve Data Problems |
2020 |
VLDB |
9.4779185e-05 |
| 2,197 |
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation |
2025 |
SIGMOD |
8.8751404e-05 |
| 4,792 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
6.4010108e-05 |
| 5,546 |
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data |
2020 |
SIGMOD |
6.071729e-05 |
| 5,671 |
PGMJoins: Random Join Sampling with Graphical Models |
2021 |
SIGMOD |
6.026372e-05 |
| 5,841 |
Joins on Samples: A Theoretical Guide for Practitioners |
2020 |
VLDB |
5.9569427e-05 |
| 5,885 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.9421702e-05 |
| 6,198 |
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing |
2021 |
SIGMOD |
5.8362492e-05 |
| 6,874 |
SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint |
2025 |
SIGMOD |
5.6434298e-05 |
| 7,175 |
Learning to Sample: Counting with Complex Queries |
2020 |
VLDB |
5.5779755e-05 |
| 7,232 |
Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization |
2020 |
SIGMOD |
5.563377e-05 |
| 7,365 |
PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression |
2024 |
VLDB |
5.5273291e-05 |
| 7,720 |
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams |
2022 |
VLDB |
5.4542911e-05 |
| 7,745 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
5.4457135e-05 |
| 7,950 |
Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines |
2024 |
VLDB |
5.402957e-05 |
| 8,305 |
Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters |
2019 |
VLDB |
5.3427507e-05 |
| 8,349 |
LAQy: Efficient and Reusable Query Approximations via Lazy Sampling |
2023 |
SIGMOD |
5.3332512e-05 |
| 8,685 |
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation |
2023 |
VLDB |
5.2730954e-05 |
| 8,769 |
ProgressiveDB – Progressive Data Analytics as a Middleware |
2019 |
VLDB |
5.2691244e-05 |
| 8,790 |
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees |
2022 |
SIGMOD |
5.2633515e-05 |
| 8,976 |
Practical Dynamic Extension for Sampling Indexes |
2023 |
SIGMOD |
5.2343756e-05 |
| 9,240 |
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks |
2023 |
SIGMOD |
5.1867235e-05 |
| 9,415 |
JENNER: Just-in-time Enrichment in Query Processing |
2022 |
VLDB |
5.1672232e-05 |
| 9,608 |
A Step Toward Deep Online Aggregation |
2023 |
SIGMOD |
5.1376962e-05 |
| 10,087 |
Efficient Insights Discovery through Conditional Generative Model based Query Approximation |
2022 |
SIGMOD |
5.0699214e-05 |
| 10,345 |
AB-tree: Index for Concurrent Random Sampling and Updates |
2022 |
VLDB |
5.0197268e-05 |
| 10,418 |
Evergreen: Efficient Claim Verification for Semantic Aggregates |
2027 |
VLDB |
4.9605343e-05 |
| 10,479 |
A Backend-Agnostic Compiler for Approximate Query Processing with Probabilistic Tensor Algebra |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,578 |
Sketch-based Secure Query Processing for Streaming Data |
2026 |
SIGMOD |
4.9605343e-05 |
| 10,767 |
On Fair Epsilon Net and Geometric Hitting Set |
2026 |
VLDB |
4.9605343e-05 |
| 10,795 |
Secure Multi-Party Sampling over Joins |
2026 |
VLDB |
4.9605343e-05 |
| 10,905 |
ConANN: Conformal Approximate Nearest Neighbor Search |
2026 |
VLDB |
4.9605343e-05 |
| 10,946 |
ConRAD: Conformal Risk-Aware Neural Databases |
2026 |
VLDB |
4.9605343e-05 |
| 11,149 |
Efficient Approximate Query Processing with Block Sampling |
2025 |
CIDR |
4.9605343e-05 |
| 11,215 |
Demo of Kishu: Time-Traveling for Computational Notebooks |
2025 |
SIGMOD |
4.9605343e-05 |
| 11,252 |
FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network |
2025 |
SIGMOD |
4.9605343e-05 |
| 11,303 |
Holistic query Approximation via RL Modeling |
2025 |
VLDB |
4.9605343e-05 |
| 11,332 |
Approximation-First Timeseries Query At Scale |
2025 |
VLDB |
4.9605343e-05 |
| 11,353 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.9605343e-05 |
| 11,512 |
Datamap-Driven Tabular Coreset Selection for Classifier Training |
2025 |
VLDB |
4.9605343e-05 |
| 11,782 |
Efficient Approximation Framework for Attribute Recommendation |
2023 |
SIGMOD |
4.9605343e-05 |
| 11,844 |
Approximate Queries over Concurrent Updates |
2023 |
VLDB |
4.9605343e-05 |
| 11,982 |
Accelerating Complex Analytics using Speculation |
2021 |
CIDR |
4.9605343e-05 |
| 12,008 |
XLJoins |
2021 |
SIGMOD |
4.9605343e-05 |
| 12,066 |
ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee |
2021 |
VLDB |
4.9605343e-05 |
| 12,089 |
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data |
2021 |
VLDB |
4.9605343e-05 |