| 908 |
Probase: A Probabilistic Taxonomy for Text Understanding |
2012 |
SIGMOD |
0.00013300624 |
| 1,256 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00011457194 |
| 1,279 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00011361878 |
| 2,029 |
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads |
2018 |
VLDB |
9.2843642e-05 |
| 2,147 |
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions |
2021 |
VLDB |
9.0831495e-05 |
| 2,651 |
Magpie: Python at Speed and Scale using Cloud Backends |
2021 |
CIDR |
8.2918086e-05 |
| 3,169 |
Towards Demystifying Serverless Machine Learning Training |
2021 |
SIGMOD |
7.6715222e-05 |
| 3,272 |
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition |
2021 |
VLDB |
7.5775321e-05 |
| 3,482 |
Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads |
2013 |
VLDB |
7.3751635e-05 |
| 3,490 |
MLog: Towards Declarative In-Database Machine Learning |
2017 |
VLDB |
7.3667971e-05 |
| 5,091 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
6.3669569e-05 |
| 5,537 |
Uncertainty Aware Query Execution Time Prediction |
2014 |
VLDB |
6.1820087e-05 |
| 5,869 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
6.0610922e-05 |
| 6,045 |
Helios: Hyperscale Indexing for the Cloud & Edge |
2020 |
VLDB |
5.9957544e-05 |
| 6,339 |
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle |
2022 |
SIGMOD |
5.907165e-05 |
| 7,609 |
Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization |
2019 |
VLDB |
5.5841767e-05 |
| 7,655 |
Plan Stitch: Harnessing the Best of Many Plans |
2018 |
VLDB |
5.5741093e-05 |
| 7,750 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
5.5523652e-05 |
| 7,763 |
MLBench: Benchmarking Machine Learning Services Against Human Experts |
2018 |
VLDB |
5.5500928e-05 |
| 8,697 |
Optimization of Threshold Functions over Streams |
2021 |
VLDB |
5.3830471e-05 |
| 8,927 |
Hyperspace: The Indexing Subsystem of Azure Synapse |
2021 |
VLDB |
5.3483178e-05 |
| 9,265 |
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services |
2018 |
VLDB |
5.2965435e-05 |
| 9,615 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
5.2436464e-05 |
| 10,082 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
5.1587525e-05 |
| 10,303 |
Understanding the Impact of Data Noise in Federated Learning: [Experiments & Analysis] |
2026 |
SIGMOD |
5.093636e-05 |
| 10,413 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
5.093636e-05 |
| 10,494 |
RIB: Robust Learning-based Index Benefit Estimation |
2026 |
SIGMOD |
5.093636e-05 |
| 10,815 |
Esc: An Early-Stopping Checker for Budget-aware Index Tuning |
2025 |
VLDB |
5.093636e-05 |
| 11,629 |
Ease.ML: A Lifecycle Management System for MLDev and MLOps |
2021 |
CIDR |
5.093636e-05 |
| 11,802 |
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development |
2020 |
VLDB |
5.093636e-05 |
| 12,511 |
Search Your Memory ! - An Associative Memory Based Desktop Search System |
2009 |
SIGMOD |
5.093636e-05 |