| 934 |
Probase: A Probabilistic Taxonomy for Text Understanding |
2012 |
SIGMOD |
0.0001300429 |
| 1,257 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00011310561 |
| 1,279 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00011226878 |
| 1,847 |
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions |
2021 |
VLDB |
9.5120573e-05 |
| 2,036 |
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads |
2018 |
VLDB |
9.1520279e-05 |
| 2,207 |
Magpie: Python at Speed and Scale using Cloud Backends |
2021 |
CIDR |
8.8487039e-05 |
| 3,240 |
Towards Demystifying Serverless Machine Learning Training |
2021 |
SIGMOD |
7.5002772e-05 |
| 3,331 |
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition |
2021 |
VLDB |
7.4166095e-05 |
| 3,519 |
Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads |
2013 |
VLDB |
7.2389387e-05 |
| 3,524 |
MLog: Towards Declarative In-Database Machine Learning |
2017 |
VLDB |
7.2337006e-05 |
| 4,968 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
6.3348803e-05 |
| 5,630 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
6.0582762e-05 |
| 5,656 |
Uncertainty Aware Query Execution Time Prediction |
2014 |
VLDB |
6.0488629e-05 |
| 6,174 |
Helios: Hyperscale Indexing for the Cloud & Edge |
2020 |
VLDB |
5.8612829e-05 |
| 6,458 |
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle |
2022 |
SIGMOD |
5.7773842e-05 |
| 7,072 |
Plan Stitch: Harnessing the Best of Many Plans |
2018 |
VLDB |
5.6074688e-05 |
| 7,745 |
Ease.ml/ci and Ease.ml/meter in Action: Towards Data Management for Statistical Generalization |
2019 |
VLDB |
5.4606673e-05 |
| 7,888 |
MLBench: Benchmarking Machine Learning Services Against Human Experts |
2018 |
VLDB |
5.4330038e-05 |
| 7,900 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
5.4303143e-05 |
| 8,864 |
Optimization of Threshold Functions over Streams |
2021 |
VLDB |
5.262266e-05 |
| 9,088 |
Hyperspace: The Indexing Subsystem of Azure Synapse |
2021 |
VLDB |
5.2283159e-05 |
| 9,438 |
Ease.ml in Action: Towards Multi-tenant Declarative Learning Services |
2018 |
VLDB |
5.1777033e-05 |
| 9,790 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
5.1260323e-05 |
| 10,297 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
5.0430432e-05 |
| 10,515 |
Understanding the Impact of Data Noise in Federated Learning: [Experiments & Analysis] |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,604 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,681 |
RIB: Robust Learning-based Index Benefit Estimation |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,912 |
Tuning the Lookahead Distance for PostgreSQL Asynchronous IO |
2026 |
VLDB |
4.9793485e-05 |
| 10,918 |
Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server |
2026 |
VLDB |
4.9793485e-05 |
| 11,224 |
Esc: An Early-Stopping Checker for Budget-aware Index Tuning |
2025 |
VLDB |
4.9793485e-05 |
| 11,936 |
Ease.ML: A Lifecycle Management System for MLDev and MLOps |
2021 |
CIDR |
4.9793485e-05 |
| 12,104 |
Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development |
2020 |
VLDB |
4.9793485e-05 |
| 12,801 |
Search Your Memory ! - An Associative Memory Based Desktop Search System |
2009 |
SIGMOD |
4.9793485e-05 |