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Active Learning for ML Enhanced Database Systems

Summary: ADCP uses active learning to collect deployment data. HAL fuses signals to guide data gathering under varying budgets, delivering up to 2x prediction performance at the same cost and 75% error reduction with ~100 extra queries on production workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6045
Venue
SIGMOD
Year
2020
Pagerank
8.762627e-05
Overall Rank
2,313 | 84.14%
DOI
10.1145/3318464.3389768

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ma_sigmod20,
        title = {{Active Learning for ML Enhanced Database Systems}},
        author = {Ma, Lin and Ding, Bailu and Das, Sudipto and Swaminathan, Adith},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389768},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389768},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 29 of 29 citing papers.

Rank Citing Paper Year Venue Pagerank
1,832 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 9.6607418e-05
2,888 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.9941489e-05
2,991 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 7.8880723e-05
2,994 Data Acquisition for Improving Machine Learning Models 2021 VLDB 7.8762343e-05
3,283 A Learned Sketch for Subgraph Counting 2021 SIGMOD 7.56675e-05
3,586 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 7.2834069e-05
3,587 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2829345e-05
3,926 UDO: Universal Database Optimization using Reinforcement Learning 2021 VLDB 7.0128068e-05
3,961 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.987575e-05
4,434 LEON: A New Framework for ML-Aided Query Optimization 2023 VLDB 6.7079088e-05
4,612 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 6.6072026e-05
4,835 Adaptive Data Augmentation for Supervised Learning over Missing Data 2021 VLDB 6.486592e-05
5,340 Machine Learning for Databases 2021 VLDB 6.2603359e-05
6,024 Expand your Training Limits! Generating Training Data for ML-based Data Management 2021 SIGMOD 6.0031118e-05
6,132 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 5.9660278e-05
6,323 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 5.9141228e-05
6,357 A Unified Transferable Model for ML-Enhanced DBMS 2022 CIDR 5.9020843e-05
6,939 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.7338637e-05
7,757 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 5.5508469e-05
7,846 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 5.5331459e-05
8,127 The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” 2021 VLDB 5.4826853e-05
8,783 Tiresias: Enabling Predictive Autonomous Storage and Indexing 2022 VLDB 5.3740362e-05
8,842 Data Acquisition for Improving Model Confidence 2024 SIGMOD 5.3589295e-05
8,984 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.3395569e-05
9,123 BASE: Bridging the Gap between Cost and Latency for Query Optimization 2023 VLDB 5.3193264e-05
9,536 Database Gyms 2023 CIDR 5.2529727e-05
10,066 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.1643809e-05
10,249 GoodTP: An Effective Data Selection Framework for Enhancing Trajectory Similarity Learning via Monte Carlo Tree Search 2026 SIGMOD 5.093636e-05
10,506 This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 18 of 18 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035316107
100 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034385207
184 DB2 Design Advisor: Integrated Automatic Physical Database Design 2004 VLDB 0.00026256101
234 Self-Driving Database Management Systems 2017 CIDR 0.00023810722
290 An Overview of Query Optimization in Relational Systems 1998 PODS 0.0002227038
334 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00020875082
461 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00018068441
501 Database Tuning Advisor for Microsoft SQL Server 2005 2004 VLDB 0.0001738508
524 Automatic SQL Tuning in Oracle 10g 2004 VLDB 0.00017120666
528 On Active Learning of Record Matching Packages 2010 SIGMOD 0.00017100838
563 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001650812
682 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00015014887
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011361878
1,548 Automatically Indexing Millions of Databases in Microsoft Azure SQL Database 2019 SIGMOD 0.00010392475
2,626 Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning 2015 VLDB 8.3291889e-05
3,971 CLAMShell: Speeding up Crowds for Low-latency Data Labeling 2016 VLDB 6.9835263e-05
4,420 Optimization for Active Learning-based Interactive Database Exploration 2019 VLDB 6.7132724e-05
7,655 Plan Stitch: Harnessing the Best of Many Plans 2018 VLDB 5.5741093e-05
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