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Democratizing Data Science through Interactive Curation of ML Pipelines

Summary: Interactive AutoML for scientists via curated ML pipelines. Uses query-optimization, cost-based bandits, and Bayesian optimization to achieve interactive latency and beat expert solutions on unseen data across 300+ datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h9ae1c847c34d6445
Venue
SIGMOD
Year
2019
Pagerank
0.00012750518
Overall Rank
975 | 93.45%
DOI
10.1145/3299869.3319863

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{shang_sigmod19,
        title = {{Democratizing Data Science through Interactive Curation of ML Pipelines}},
        author = {Shang, Zeyuan and Zgraggen, Emanuel and Buratti, Benedetto and Kossmann, Ferdinand and Eichmann, Philipp and Chung, Yeounoh and Binnig, Carsten and Upfal, Eli and Kraska, Tim},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3319863},
        url = {https://dl.acm.org/doi/10.1145/3299869.3319863},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 28 of 28 citing papers.

Rank Citing Paper Year Venue Pagerank
1,038 ARDA: Automatic Relational Data Augmentation for Machine Learning 2020 VLDB 0.00012370691
1,336 Auctus: A Dataset Search Engine for Data Discovery and Augmentation 2021 VLDB 0.00010988669
1,668 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.9371612e-05
2,011 DBPal: A Fully Pluggable NL2SQL Training Pipeline 2020 SIGMOD 9.1896169e-05
4,095 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.8095767e-05
4,103 AutoOD: Automatic Outlier Detection 2023 SIGMOD 6.8066074e-05
4,334 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.6569314e-05
4,524 DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data 2023 SIGMOD 6.5621504e-05
4,534 SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting 2023 VLDB 6.5561421e-05
4,686 A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System 2022 VLDB 6.4708106e-05
5,572 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 6.0802555e-05
5,792 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.99349e-05
5,848 HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation 2023 SIGMOD 5.9720806e-05
5,933 Doing More with Less: Characterizing Dataset Downsampling for AutoML 2021 VLDB 5.942188e-05
6,921 CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning 2024 SIGMOD 5.6432616e-05
7,212 Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science 2021 VLDB 5.5840773e-05
7,270 AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework 2025 VLDB 5.5694935e-05
7,613 The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development 2020 SIGMOD 5.4839307e-05
7,839 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.4432099e-05
8,277 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.3639084e-05
8,310 DORIAN in action: Assisted Design of Data Science Pipelines 2022 VLDB 5.3581954e-05
10,722 CAPS: Cost-Aware ML Pipeline Selection 2026 VLDB 4.9793485e-05
10,855 PipeLens: Identifying Interventions for Resolving Malfunctioning Data Science Pipelines 2026 VLDB 4.9793485e-05
11,235 A Systematic Study on Early Stopping Metrics in HPO and the Implications of Uncertainty 2025 VLDB 4.9793485e-05
11,284 CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines 2025 VLDB 4.9793485e-05
11,731 Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet 2023 SIGMOD 4.9793485e-05
11,981 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 4.9793485e-05
12,049 Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop 2020 CIDR 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0023947656
295 Towards Estimation Error Guarantees for Distinct Values 2000 PODS 0.00021914399
537 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00016768109
924 Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System 2017 VLDB 0.00013057136
1,409 Northstar: An Interactive Data Science System 2018 VLDB 0.00010743451
2,036 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 9.1520279e-05
2,087 LINVIEW: Incremental View Maintenance for Complex Analytical Queries 2014 SIGMOD 9.068879e-05
2,096 Vizdom: Interactive Analytics through Pen and Touch 2015 VLDB 9.0550231e-05
5,168 Querying Without Keyboards 2013 CIDR 6.2460238e-05
6,762 GestureQuery: A Multitouch Database Query Interface 2013 VLDB 5.6877106e-05
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# Overall Rank Paper Year Venue
1 5,848 HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation 2023 SIGMOD
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3 13,625 Demonstrating CatDB: LLM-based Generation of Data-centric ML Pipelines 2025 SIGMOD
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5 2,648 Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration 2014 SIGMOD
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9 7,613 The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development 2020 SIGMOD
10 12,049 Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop 2020 CIDR