| 606 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00019251186 |
| 1,427 |
Towards Scalable Dataframe Systems |
2020 |
VLDB |
0.00012033503 |
| 1,699 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00010848882 |
| 2,040 |
QUAD: Quadratic-Bound-based Kernel Density Visualization |
2020 |
SIGMOD |
9.7029698e-05 |
| 2,366 |
Data Market Platforms: Trading Data Assets to Solve Data Problems |
2020 |
VLDB |
8.9521259e-05 |
| 2,494 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
8.6457436e-05 |
| 3,569 |
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation |
2025 |
SIGMOD |
6.9588368e-05 |
| 5,799 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
5.3219666e-05 |
| 5,815 |
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data |
2020 |
SIGMOD |
5.3158788e-05 |
| 5,817 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.3154329e-05 |
| 5,952 |
PGMJoins: Random Join Sampling with Graphical Models |
2021 |
SIGMOD |
5.2547498e-05 |
| 6,481 |
Joins on Samples: A Theoretical Guide for Practitioners |
2020 |
VLDB |
5.039683e-05 |
| 6,724 |
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing |
2021 |
SIGMOD |
4.9449472e-05 |
| 7,189 |
Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization |
2020 |
SIGMOD |
4.8007014e-05 |
| 7,246 |
Learning to Sample: Counting with Complex Queries |
2020 |
VLDB |
4.7847433e-05 |
| 7,335 |
SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint |
2025 |
SIGMOD |
4.7533835e-05 |
| 7,533 |
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams |
2022 |
VLDB |
4.7134753e-05 |
| 8,057 |
Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines |
2024 |
VLDB |
4.5903427e-05 |
| 8,235 |
Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters |
2019 |
VLDB |
4.5481384e-05 |
| 8,370 |
LAQy: Efficient and Reusable Query Approximations via Lazy Sampling |
2023 |
SIGMOD |
4.5287754e-05 |
| 8,414 |
PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression |
2024 |
VLDB |
4.5135713e-05 |
| 8,606 |
ProgressiveDB – Progressive Data Analytics as a Middleware |
2019 |
VLDB |
4.4811623e-05 |
| 8,642 |
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees |
2022 |
SIGMOD |
4.4734993e-05 |
| 9,049 |
JENNER: Just-in-time Enrichment in Query Processing |
2022 |
VLDB |
4.3997447e-05 |
| 9,078 |
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks |
2023 |
SIGMOD |
4.3959645e-05 |
| 9,238 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
4.3648789e-05 |
| 9,621 |
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation |
2023 |
VLDB |
4.3125802e-05 |
| 9,759 |
Efficient Insights Discovery through Conditional Generative Model based Query Approximation |
2022 |
SIGMOD |
4.2852133e-05 |
| 9,760 |
Practical Dynamic Extension for Sampling Indexes |
2023 |
SIGMOD |
4.2838028e-05 |
| 9,945 |
AB-tree: Index for Concurrent Random Sampling and Updates |
2022 |
VLDB |
4.240067e-05 |
| 10,223 |
On Fair Epsilon Net and Geometric Hitting Set |
2026 |
VLDB |
4.1905499e-05 |
| 10,254 |
Secure Multi-Party Sampling over Joins |
2026 |
VLDB |
4.1905499e-05 |
| 10,291 |
ConANN: Conformal Approximate Nearest Neighbor Search |
2026 |
VLDB |
4.1905499e-05 |
| 10,349 |
Efficient Approximate Query Processing with Block Sampling |
2025 |
CIDR |
4.1905499e-05 |
| 10,444 |
Demo of Kishu: Time-Traveling for Computational Notebooks |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,491 |
FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,574 |
Holistic query Approximation via RL Modeling |
2025 |
VLDB |
4.1905499e-05 |
| 10,616 |
Approximation-First Timeseries Query At Scale |
2025 |
VLDB |
4.1905499e-05 |
| 10,647 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.1905499e-05 |
| 10,885 |
Datamap-Driven Tabular Coreset Selection for Classifier Training |
2025 |
VLDB |
4.1905499e-05 |
| 11,196 |
A Step Toward Deep Online Aggregation |
2023 |
SIGMOD |
4.1905499e-05 |
| 11,219 |
Efficient Approximation Framework for Attribute Recommendation |
2023 |
SIGMOD |
4.1905499e-05 |
| 11,287 |
Approximate Queries over Concurrent Updates |
2023 |
VLDB |
4.1905499e-05 |
| 11,430 |
Accelerating Complex Analytics using Speculation |
2021 |
CIDR |
4.1905499e-05 |
| 11,456 |
XLJoins |
2021 |
SIGMOD |
4.1905499e-05 |
| 11,518 |
ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee |
2021 |
VLDB |
4.1905499e-05 |
| 11,543 |
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data |
2021 |
VLDB |
4.1905499e-05 |
| 11,717 |
Demonstration of VerdictDB, the Platform-Independent AQP System |
2018 |
SIGMOD |
4.1905499e-05 |