| 323 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00021264788 |
| 1,061 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00012369764 |
| 1,431 |
Towards Scalable Dataframe Systems |
2020 |
VLDB |
0.00010807221 |
| 1,799 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
9.7326398e-05 |
| 2,025 |
Data Market Platforms: Trading Data Assets to Solve Data Problems |
2020 |
VLDB |
9.2903125e-05 |
| 2,816 |
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation |
2025 |
SIGMOD |
8.0959781e-05 |
| 4,789 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
6.5072039e-05 |
| 5,524 |
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data |
2020 |
SIGMOD |
6.1868208e-05 |
| 5,551 |
PGMJoins: Random Join Sampling with Graphical Models |
2021 |
SIGMOD |
6.1782856e-05 |
| 5,743 |
Joins on Samples: A Theoretical Guide for Practitioners |
2020 |
VLDB |
6.1025457e-05 |
| 5,785 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
6.0892672e-05 |
| 6,206 |
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing |
2021 |
SIGMOD |
5.9443409e-05 |
| 7,048 |
Learning to Sample: Counting with Complex Queries |
2020 |
VLDB |
5.7178054e-05 |
| 7,129 |
Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization |
2020 |
SIGMOD |
5.694968e-05 |
| 7,316 |
SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint |
2025 |
SIGMOD |
5.646695e-05 |
| 7,351 |
PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression |
2024 |
VLDB |
5.6354898e-05 |
| 7,551 |
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams |
2022 |
VLDB |
5.6006414e-05 |
| 7,847 |
Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines |
2024 |
VLDB |
5.5330423e-05 |
| 8,108 |
Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters |
2019 |
VLDB |
5.4850569e-05 |
| 8,161 |
LAQy: Efficient and Reusable Query Approximations via Lazy Sampling |
2023 |
SIGMOD |
5.4752972e-05 |
| 8,204 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
5.4667903e-05 |
| 8,492 |
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation |
2023 |
VLDB |
5.4145838e-05 |
| 8,578 |
ProgressiveDB – Progressive Data Analytics as a Middleware |
2019 |
VLDB |
5.4091471e-05 |
| 8,608 |
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees |
2022 |
SIGMOD |
5.4024561e-05 |
| 8,790 |
Practical Dynamic Extension for Sampling Indexes |
2023 |
SIGMOD |
5.3722049e-05 |
| 9,101 |
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks |
2023 |
SIGMOD |
5.324758e-05 |
| 9,200 |
JENNER: Just-in-time Enrichment in Query Processing |
2022 |
VLDB |
5.3058708e-05 |
| 9,392 |
A Step Toward Deep Online Aggregation |
2023 |
SIGMOD |
5.2755515e-05 |
| 9,860 |
Efficient Insights Discovery through Conditional Generative Model based Query Approximation |
2022 |
SIGMOD |
5.2059582e-05 |
| 10,093 |
AB-tree: Index for Concurrent Random Sampling and Updates |
2022 |
VLDB |
5.1530576e-05 |
| 10,185 |
A Backend-Agnostic Compiler for Approximate Query Processing with Probabilistic Tensor Algebra |
2026 |
SIGMOD |
5.093636e-05 |
| 10,289 |
Sketch-based Secure Query Processing for Streaming Data |
2026 |
SIGMOD |
5.093636e-05 |
| 10,511 |
On Fair Epsilon Net and Geometric Hitting Set |
2026 |
VLDB |
5.093636e-05 |
| 10,542 |
Secure Multi-Party Sampling over Joins |
2026 |
VLDB |
5.093636e-05 |
| 10,578 |
ConANN: Conformal Approximate Nearest Neighbor Search |
2026 |
VLDB |
5.093636e-05 |
| 10,634 |
Efficient Approximate Query Processing with Block Sampling |
2025 |
CIDR |
5.093636e-05 |
| 10,715 |
Demo of Kishu: Time-Traveling for Computational Notebooks |
2025 |
SIGMOD |
5.093636e-05 |
| 10,760 |
FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network |
2025 |
SIGMOD |
5.093636e-05 |
| 10,831 |
Holistic query Approximation via RL Modeling |
2025 |
VLDB |
5.093636e-05 |
| 10,865 |
Approximation-First Timeseries Query At Scale |
2025 |
VLDB |
5.093636e-05 |
| 10,891 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
5.093636e-05 |
| 11,104 |
Datamap-Driven Tabular Coreset Selection for Classifier Training |
2025 |
VLDB |
5.093636e-05 |
| 11,418 |
Efficient Approximation Framework for Attribute Recommendation |
2023 |
SIGMOD |
5.093636e-05 |
| 11,484 |
Approximate Queries over Concurrent Updates |
2023 |
VLDB |
5.093636e-05 |
| 11,625 |
Accelerating Complex Analytics using Speculation |
2021 |
CIDR |
5.093636e-05 |
| 11,651 |
XLJoins |
2021 |
SIGMOD |
5.093636e-05 |
| 11,712 |
ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee |
2021 |
VLDB |
5.093636e-05 |
| 11,736 |
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data |
2021 |
VLDB |
5.093636e-05 |
| 11,755 |
QUAD: Quadratic-Bound-based Kernel Density Visualization |
2020 |
SIGMOD |
5.093636e-05 |
| 11,916 |
Demonstration of VerdictDB, the Platform-Independent AQP System |
2018 |
SIGMOD |
5.093636e-05 |