| 318 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00021166957 |
| 1,065 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00012202293 |
| 1,370 |
Towards Scalable Dataframe Systems |
2020 |
VLDB |
0.00010895207 |
| 1,828 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
9.547768e-05 |
| 1,847 |
Data Market Platforms: Trading Data Assets to Solve Data Problems |
2020 |
VLDB |
9.5091361e-05 |
| 2,638 |
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation |
2025 |
SIGMOD |
8.1800556e-05 |
| 4,779 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
6.416435e-05 |
| 5,573 |
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data |
2020 |
SIGMOD |
6.0774723e-05 |
| 5,657 |
PGMJoins: Random Join Sampling with Graphical Models |
2021 |
SIGMOD |
6.0461e-05 |
| 5,829 |
Joins on Samples: A Theoretical Guide for Practitioners |
2020 |
VLDB |
5.9764044e-05 |
| 5,877 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.9599042e-05 |
| 6,202 |
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing |
2021 |
SIGMOD |
5.8494367e-05 |
| 6,857 |
SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint |
2025 |
SIGMOD |
5.6621524e-05 |
| 7,152 |
Learning to Sample: Counting with Complex Queries |
2020 |
VLDB |
5.5959861e-05 |
| 7,212 |
Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization |
2020 |
SIGMOD |
5.581834e-05 |
| 7,363 |
PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression |
2024 |
VLDB |
5.5404386e-05 |
| 7,707 |
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams |
2022 |
VLDB |
5.4723863e-05 |
| 7,749 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
5.4585522e-05 |
| 7,983 |
Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines |
2024 |
VLDB |
5.4111208e-05 |
| 8,289 |
Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters |
2019 |
VLDB |
5.360349e-05 |
| 8,336 |
LAQy: Efficient and Reusable Query Approximations via Lazy Sampling |
2023 |
SIGMOD |
5.3508072e-05 |
| 8,667 |
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation |
2023 |
VLDB |
5.2905894e-05 |
| 8,749 |
ProgressiveDB – Progressive Data Analytics as a Middleware |
2019 |
VLDB |
5.2865484e-05 |
| 8,771 |
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees |
2022 |
SIGMOD |
5.2808131e-05 |
| 8,953 |
Practical Dynamic Extension for Sampling Indexes |
2023 |
SIGMOD |
5.2517412e-05 |
| 9,219 |
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks |
2023 |
SIGMOD |
5.2037933e-05 |
| 9,389 |
JENNER: Just-in-time Enrichment in Query Processing |
2022 |
VLDB |
5.1843659e-05 |
| 9,583 |
A Step Toward Deep Online Aggregation |
2023 |
SIGMOD |
5.154741e-05 |
| 10,056 |
Efficient Insights Discovery through Conditional Generative Model based Query Approximation |
2022 |
SIGMOD |
5.0867413e-05 |
| 10,317 |
AB-tree: Index for Concurrent Random Sampling and Updates |
2022 |
VLDB |
5.0363234e-05 |
| 10,351 |
Evergreen: Efficient Claim Verification for Semantic Aggregates |
2027 |
VLDB |
4.9769913e-05 |
| 10,413 |
A Backend-Agnostic Compiler for Approximate Query Processing with Probabilistic Tensor Algebra |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,512 |
Sketch-based Secure Query Processing for Streaming Data |
2026 |
SIGMOD |
4.9769913e-05 |
| 10,706 |
On Fair Epsilon Net and Geometric Hitting Set |
2026 |
VLDB |
4.9769913e-05 |
| 10,734 |
Secure Multi-Party Sampling over Joins |
2026 |
VLDB |
4.9769913e-05 |
| 10,844 |
ConANN: Conformal Approximate Nearest Neighbor Search |
2026 |
VLDB |
4.9769913e-05 |
| 10,885 |
ConRAD: Conformal Risk-Aware Neural Databases |
2026 |
VLDB |
4.9769913e-05 |
| 11,088 |
Efficient Approximate Query Processing with Block Sampling |
2025 |
CIDR |
4.9769913e-05 |
| 11,156 |
Demo of Kishu: Time-Traveling for Computational Notebooks |
2025 |
SIGMOD |
4.9769913e-05 |
| 11,193 |
FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network |
2025 |
SIGMOD |
4.9769913e-05 |
| 11,247 |
Holistic query Approximation via RL Modeling |
2025 |
VLDB |
4.9769913e-05 |
| 11,276 |
Approximation-First Timeseries Query At Scale |
2025 |
VLDB |
4.9769913e-05 |
| 11,298 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.9769913e-05 |
| 11,460 |
Datamap-Driven Tabular Coreset Selection for Classifier Training |
2025 |
VLDB |
4.9769913e-05 |
| 11,738 |
Efficient Approximation Framework for Attribute Recommendation |
2023 |
SIGMOD |
4.9769913e-05 |
| 11,800 |
Approximate Queries over Concurrent Updates |
2023 |
VLDB |
4.9769913e-05 |
| 11,938 |
Accelerating Complex Analytics using Speculation |
2021 |
CIDR |
4.9769913e-05 |
| 11,964 |
XLJoins |
2021 |
SIGMOD |
4.9769913e-05 |
| 12,022 |
ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee |
2021 |
VLDB |
4.9769913e-05 |
| 12,045 |
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data |
2021 |
VLDB |
4.9769913e-05 |