| 318 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00021167555 |
| 1,064 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00012202282 |
| 1,369 |
Towards Scalable Dataframe Systems |
2020 |
VLDB |
0.00010899832 |
| 1,829 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
9.5510333e-05 |
| 1,845 |
Data Market Platforms: Trading Data Assets to Solve Data Problems |
2020 |
VLDB |
9.5136397e-05 |
| 2,638 |
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation |
2025 |
SIGMOD |
8.1839298e-05 |
| 4,781 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
6.4162085e-05 |
| 5,573 |
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data |
2020 |
SIGMOD |
6.0794156e-05 |
| 5,657 |
PGMJoins: Random Join Sampling with Graphical Models |
2021 |
SIGMOD |
6.0488437e-05 |
| 5,831 |
Joins on Samples: A Theoretical Guide for Practitioners |
2020 |
VLDB |
5.9782109e-05 |
| 5,877 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.9627218e-05 |
| 6,221 |
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing |
2021 |
SIGMOD |
5.8463347e-05 |
| 6,860 |
SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint |
2025 |
SIGMOD |
5.6613762e-05 |
| 7,166 |
Learning to Sample: Counting with Complex Queries |
2020 |
VLDB |
5.5949741e-05 |
| 7,210 |
Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization |
2020 |
SIGMOD |
5.5844776e-05 |
| 7,375 |
PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression |
2024 |
VLDB |
5.5400509e-05 |
| 7,701 |
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams |
2022 |
VLDB |
5.474978e-05 |
| 7,978 |
Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines |
2024 |
VLDB |
5.4136835e-05 |
| 8,223 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
5.3751366e-05 |
| 8,283 |
Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters |
2019 |
VLDB |
5.3627138e-05 |
| 8,331 |
LAQy: Efficient and Reusable Query Approximations via Lazy Sampling |
2023 |
SIGMOD |
5.3532622e-05 |
| 8,659 |
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation |
2023 |
VLDB |
5.2930951e-05 |
| 8,744 |
ProgressiveDB – Progressive Data Analytics as a Middleware |
2019 |
VLDB |
5.2881174e-05 |
| 8,770 |
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees |
2022 |
SIGMOD |
5.2812395e-05 |
| 8,944 |
Practical Dynamic Extension for Sampling Indexes |
2023 |
SIGMOD |
5.2542285e-05 |
| 9,209 |
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks |
2023 |
SIGMOD |
5.2061781e-05 |
| 9,380 |
JENNER: Just-in-time Enrichment in Query Processing |
2022 |
VLDB |
5.1868213e-05 |
| 9,575 |
A Step Toward Deep Online Aggregation |
2023 |
SIGMOD |
5.1571823e-05 |
| 10,051 |
Efficient Insights Discovery through Conditional Generative Model based Query Approximation |
2022 |
SIGMOD |
5.0891505e-05 |
| 10,315 |
AB-tree: Index for Concurrent Random Sampling and Updates |
2022 |
VLDB |
5.0377739e-05 |
| 10,401 |
A Backend-Agnostic Compiler for Approximate Query Processing with Probabilistic Tensor Algebra |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,501 |
Sketch-based Secure Query Processing for Streaming Data |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,696 |
On Fair Epsilon Net and Geometric Hitting Set |
2026 |
VLDB |
4.9793485e-05 |
| 10,724 |
Secure Multi-Party Sampling over Joins |
2026 |
VLDB |
4.9793485e-05 |
| 10,834 |
ConANN: Conformal Approximate Nearest Neighbor Search |
2026 |
VLDB |
4.9793485e-05 |
| 10,876 |
ConRAD: Conformal Risk-Aware Neural Databases |
2026 |
VLDB |
4.9793485e-05 |
| 11,079 |
Efficient Approximate Query Processing with Block Sampling |
2025 |
CIDR |
4.9793485e-05 |
| 11,147 |
Demo of Kishu: Time-Traveling for Computational Notebooks |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,184 |
FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,239 |
Holistic query Approximation via RL Modeling |
2025 |
VLDB |
4.9793485e-05 |
| 11,268 |
Approximation-First Timeseries Query At Scale |
2025 |
VLDB |
4.9793485e-05 |
| 11,290 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.9793485e-05 |
| 11,454 |
Datamap-Driven Tabular Coreset Selection for Classifier Training |
2025 |
VLDB |
4.9793485e-05 |
| 11,732 |
Efficient Approximation Framework for Attribute Recommendation |
2023 |
SIGMOD |
4.9793485e-05 |
| 11,794 |
Approximate Queries over Concurrent Updates |
2023 |
VLDB |
4.9793485e-05 |
| 11,932 |
Accelerating Complex Analytics using Speculation |
2021 |
CIDR |
4.9793485e-05 |
| 11,958 |
XLJoins |
2021 |
SIGMOD |
4.9793485e-05 |
| 12,016 |
ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee |
2021 |
VLDB |
4.9793485e-05 |
| 12,039 |
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data |
2021 |
VLDB |
4.9793485e-05 |
| 12,058 |
QUAD: Quadratic-Bound-based Kernel Density Visualization |
2020 |
SIGMOD |
4.9793485e-05 |