| 1,068 |
Probase: A Probabilistic Taxonomy for Text Understanding |
2012 |
SIGMOD |
0.00014316508 |
| 1,393 |
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads |
2018 |
VLDB |
0.00012223372 |
| 1,756 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00010659753 |
| 1,856 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00010319105 |
| 2,308 |
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions |
2021 |
VLDB |
9.0634287e-05 |
| 2,795 |
Towards Demystifying Serverless Machine Learning Training |
2021 |
SIGMOD |
8.1135606e-05 |
| 2,845 |
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition |
2021 |
VLDB |
8.0301674e-05 |
| 2,955 |
Magpie: Python at Speed and Scale using Cloud Backends |
2021 |
CIDR |
7.8188583e-05 |
| 3,961 |
MLog: Towards Declarative In-Database Machine Learning |
2017 |
VLDB |
6.5824022e-05 |
| 4,075 |
Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads |
2013 |
VLDB |
6.4699689e-05 |
| 5,673 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
5.3789277e-05 |
| 6,241 |
Helios: Hyperscale Indexing for the Cloud & Edge |
2020 |
VLDB |
5.1357476e-05 |
| 6,277 |
Uncertainty Aware Query Execution Time Prediction |
2014 |
VLDB |
5.1260947e-05 |
| 6,364 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
5.0895007e-05 |
| 6,573 |
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle |
2022 |
SIGMOD |
5.0009513e-05 |
| 7,138 |
Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization |
2019 |
VLDB |
4.8164681e-05 |
| 7,419 |
MLBench: Benchmarking Machine Learning Services Against Human Experts |
2018 |
VLDB |
4.7302312e-05 |
| 7,776 |
Plan Stitch: Harnessing the Best of Many Plans |
2018 |
VLDB |
4.6493147e-05 |
| 8,043 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
4.5954398e-05 |
| 8,478 |
Optimization of Threshold Functions over Streams |
2021 |
VLDB |
4.4968401e-05 |
| 8,754 |
Hyperspace: The Indexing Subsystem of Azure Synapse |
2021 |
VLDB |
4.4520434e-05 |
| 9,115 |
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services |
2018 |
VLDB |
4.3886513e-05 |
| 9,930 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
4.2469394e-05 |
| 9,931 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
4.2469394e-05 |
| 10,125 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,205 |
RIB: Robust Learning-based Index Benefit Estimation |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,552 |
Esc: An Early-Stopping Checker for Budget-aware Index Tuning |
2025 |
VLDB |
4.1905499e-05 |
| 11,434 |
Ease.ML: A Lifecycle Management System for MLDev and MLOps |
2021 |
CIDR |
4.1905499e-05 |
| 11,611 |
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development |
2020 |
VLDB |
4.1905499e-05 |
| 12,325 |
Search Your Memory ! - An Associative Memory Based Desktop Search System |
2009 |
SIGMOD |
4.1905499e-05 |