| 102 |
The Case for Learned Index Structures |
2018 |
SIGMOD |
0.00049545203 |
| 140 |
The MADlib Analytics Library or MAD Skills, the SQL |
2012 |
VLDB |
0.00042270404 |
| 183 |
Automatic Database Management System Tuning Through Large-scale Machine Learning |
2017 |
SIGMOD |
0.00036721403 |
| 333 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00027206884 |
| 359 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.0002592783 |
| 420 |
InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables |
2012 |
SIGMOD |
0.00023719065 |
| 514 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.0002124895 |
| 543 |
MLbase: A Distributed Machine-learning System |
2013 |
CIDR |
0.00020526854 |
| 557 |
SystemML: Declarative Machine Learning on Spark |
2016 |
VLDB |
0.00020197988 |
| 570 |
Workload-Aware Database Monitoring and Consolidation |
2011 |
SIGMOD |
0.00019922274 |
| 610 |
Goods: Organizing Google's Datasets |
2016 |
SIGMOD |
0.00019232674 |
| 716 |
Query-based Workload Forecasting for Self-Driving Database Management Systems |
2018 |
SIGMOD |
0.00017723171 |
| 758 |
Deep Unsupervised Cardinality Estimation |
2020 |
VLDB |
0.0001706608 |
| 761 |
Materialization Optimizations for Feature Selection Workloads |
2014 |
SIGMOD |
0.00017053783 |
| 782 |
QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning |
2019 |
VLDB |
0.00016729063 |
| 791 |
ActiveClean: Interactive Data Cleaning For Statistical Modeling |
2016 |
VLDB |
0.00016629664 |
| 801 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.00016505496 |
| 806 |
An End-to-End Learning-based Cost Estimator |
2020 |
VLDB |
0.00016434274 |
| 826 |
ALEX: An Updatable Adaptive Learned Index |
2020 |
SIGMOD |
0.00016224841 |
| 884 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.00015654004 |
| 903 |
To Join or Not to Join? Thinking Twice about Joins before Feature Selection |
2016 |
SIGMOD |
0.0001547016 |
| 1,254 |
Selectivity Estimation for Range Predicates using Lightweight Models |
2019 |
VLDB |
0.00013027411 |
| 1,322 |
Automated Demand-driven Resource Scaling in Relational Database-as-a-Service |
2016 |
SIGMOD |
0.00012610912 |
| 1,463 |
ARDA: Automatic Relational Data Augmentation for Machine Learning |
2020 |
VLDB |
0.00011869295 |
| 1,478 |
Learning Multi-dimensional Indexes |
2020 |
SIGMOD |
0.00011762542 |
| 1,501 |
P-Store: An Elastic Database System with Predictive Provisioning |
2018 |
SIGMOD |
0.00011664869 |
| 1,532 |
Data Management in Machine Learning: Challenges, Techniques, and Systems |
2017 |
SIGMOD |
0.00011472681 |
| 1,737 |
QuickSel: Quick Selectivity Learning with Mixture Models |
2020 |
SIGMOD |
0.00010720294 |
| 1,902 |
Black or White? How to Develop an AutoTuner for Memory-based Analytics |
2020 |
SIGMOD |
0.00010157713 |
| 2,020 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
9.762624e-05 |
| 2,083 |
Towards a Learning Optimizer for Shared Clouds |
2019 |
VLDB |
9.5834572e-05 |
| 2,139 |
Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases |
2020 |
VLDB |
9.4640037e-05 |
| 2,219 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2019 |
SIGMOD |
9.2623533e-05 |
| 2,606 |
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn |
2019 |
CIDR |
8.4645832e-05 |
| 2,937 |
Truth Inference in Crowdsourcing: Is the Problem Solved? |
2017 |
VLDB |
7.853108e-05 |
| 3,076 |
Learning a Partitioning Advisor for Cloud Databases |
2020 |
SIGMOD |
7.6107677e-05 |
| 3,142 |
Active Learning for ML Enhanced Database Systems |
2020 |
SIGMOD |
7.4815444e-05 |
| 3,580 |
Query Performance Prediction for Concurrent Queries using Graph Embedding |
2020 |
VLDB |
6.9500996e-05 |
| 3,881 |
Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? |
2015 |
SIGMOD |
6.6691196e-05 |
| 4,033 |
In-RDBMS Hardware Acceleration of Advanced Analytics |
2018 |
VLDB |
6.5113267e-05 |
| 5,487 |
SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra |
2020 |
VLDB |
5.4791501e-05 |
| 6,268 |
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems |
2019 |
VLDB |
5.133857e-05 |
| 6,404 |
ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation |
2019 |
VLDB |
5.0786954e-05 |
| 6,456 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
5.0564619e-05 |
| 7,668 |
Human-in-the-loop Data Integration |
2017 |
VLDB |
4.6834075e-05 |
| 8,789 |
Machine Learning Meets Big Spatial Data |
2019 |
VLDB |
4.4509194e-05 |
| 9,809 |
Thoth in Action: Memory Management in Modern Data Analytics |
2017 |
VLDB |
4.278405e-05 |
| 9,810 |
Rheem: Enabling Multi-Platform Task Execution |
2016 |
SIGMOD |
4.278405e-05 |