| 608 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00019235898 |
| 1,427 |
Towards Scalable Dataframe Systems |
2020 |
VLDB |
0.0001204248 |
| 1,703 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00010836769 |
| 2,359 |
Data Market Platforms: Trading Data Assets to Solve Data Problems |
2020 |
VLDB |
8.9607667e-05 |
| 2,501 |
DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models |
2019 |
SIGMOD |
8.6453446e-05 |
| 3,565 |
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation |
2025 |
SIGMOD |
6.9655362e-05 |
| 3,968 |
QUAD: Quadratic-Bound-based Kernel Density Visualization |
2020 |
SIGMOD |
6.5793715e-05 |
| 5,806 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.3200643e-05 |
| 5,810 |
Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data |
2020 |
SIGMOD |
5.3178017e-05 |
| 5,951 |
PGMJoins: Random Join Sampling with Graphical Models |
2021 |
SIGMOD |
5.2592385e-05 |
| 6,230 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
5.145989e-05 |
| 6,493 |
Joins on Samples: A Theoretical Guide for Practitioners |
2020 |
VLDB |
5.0424713e-05 |
| 6,740 |
Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing |
2021 |
SIGMOD |
4.944395e-05 |
| 7,073 |
Marviq: Quality-Aware Geospatial Visualization of Range-Selection Queries Using Materialization |
2020 |
SIGMOD |
4.842703e-05 |
| 7,251 |
Learning to Sample: Counting with Complex Queries |
2020 |
VLDB |
4.7890519e-05 |
| 7,339 |
SpareLLM: Automatically Selecting Task-Specific Minimum-Cost Large Language Models under Equivalence Constraint |
2025 |
SIGMOD |
4.7579469e-05 |
| 7,534 |
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams |
2022 |
VLDB |
4.7180004e-05 |
| 8,080 |
Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines |
2024 |
VLDB |
4.5911668e-05 |
| 8,240 |
Experiences with Approximating Queries in Microsoft’s Production Big-Data Clusters |
2019 |
VLDB |
4.5522563e-05 |
| 8,393 |
LAQy: Efficient and Reusable Query Approximations via Lazy Sampling |
2023 |
SIGMOD |
4.5280102e-05 |
| 8,622 |
ProgressiveDB – Progressive Data Analytics as a Middleware |
2019 |
VLDB |
4.4834877e-05 |
| 8,643 |
One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees |
2022 |
SIGMOD |
4.4777916e-05 |
| 9,049 |
JENNER: Just-in-time Enrichment in Query Processing |
2022 |
VLDB |
4.4039656e-05 |
| 9,107 |
NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks |
2023 |
SIGMOD |
4.3950706e-05 |
| 9,431 |
PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression |
2024 |
VLDB |
4.3434046e-05 |
| 9,621 |
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation |
2023 |
VLDB |
4.3167167e-05 |
| 9,757 |
Efficient Insights Discovery through Conditional Generative Model based Query Approximation |
2022 |
SIGMOD |
4.2893233e-05 |
| 9,758 |
Practical Dynamic Extension for Sampling Indexes |
2023 |
SIGMOD |
4.2879116e-05 |
| 9,949 |
AB-tree: Index for Concurrent Random Sampling and Updates |
2022 |
VLDB |
4.2421586e-05 |
| 10,223 |
On Fair Epsilon Net and Geometric Hitting Set |
2026 |
VLDB |
4.1945683e-05 |
| 10,254 |
Secure Multi-Party Sampling over Joins |
2026 |
VLDB |
4.1945683e-05 |
| 10,279 |
ConANN: Conformal Approximate Nearest Neighbor Search |
2026 |
VLDB |
4.1945683e-05 |
| 10,337 |
Efficient Approximate Query Processing with Block Sampling |
2025 |
CIDR |
4.1945683e-05 |
| 10,434 |
Demo of Kishu: Time-Traveling for Computational Notebooks |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,481 |
FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,497 |
PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,565 |
Holistic query Approximation via RL Modeling |
2025 |
VLDB |
4.1945683e-05 |
| 10,608 |
Approximation-First Timeseries Query At Scale |
2025 |
VLDB |
4.1945683e-05 |
| 10,639 |
Cardinality Estimation for Having-Clauses |
2025 |
VLDB |
4.1945683e-05 |
| 10,881 |
Datamap-Driven Tabular Coreset Selection for Classifier Training |
2025 |
VLDB |
4.1945683e-05 |
| 11,194 |
A Step Toward Deep Online Aggregation |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,217 |
Efficient Approximation Framework for Attribute Recommendation |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,285 |
Approximate Queries over Concurrent Updates |
2023 |
VLDB |
4.1945683e-05 |
| 11,427 |
Accelerating Complex Analytics using Speculation |
2021 |
CIDR |
4.1945683e-05 |
| 11,453 |
XLJoins |
2021 |
SIGMOD |
4.1945683e-05 |
| 11,514 |
ATLANTIC: Making Database Differentially Private and Faster with Accuracy Guarantee |
2021 |
VLDB |
4.1945683e-05 |
| 11,539 |
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data |
2021 |
VLDB |
4.1945683e-05 |
| 11,711 |
Demonstration of VerdictDB, the Platform-Independent AQP System |
2018 |
SIGMOD |
4.1945683e-05 |