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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
0.00012900728
Overall Rank
948 | 93.65%
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 29 of 29 citing papers.

Rank Citing Paper Year Venue Pagerank
1,041 ARDA: Automatic Relational Data Augmentation for Machine Learning 2020 VLDB 0.00012334538
1,333 Auctus: A Dataset Search Engine for Data Discovery and Augmentation 2021 VLDB 0.00010982382
1,616 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 0.00010048776
1,999 DBPal: A Fully Pluggable NL2SQL Training Pipeline 2020 SIGMOD 9.2108564e-05
3,970 DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data 2023 SIGMOD 6.8768492e-05
4,117 Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches 2021 VLDB 6.784003e-05
4,123 AutoOD: Automatic Outlier Detection 2023 SIGMOD 6.780889e-05
4,354 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 6.6318545e-05
4,552 SimpleTS: An Efficient and Universal Model Selection Framework for Time Series Forecasting 2023 VLDB 6.5313701e-05
4,702 A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System 2022 VLDB 6.446361e-05
5,230 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 6.2059854e-05
5,466 HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation 2023 SIGMOD 6.1038307e-05
5,808 Optimizing Machine Learning Workloads in Collaborative Environments 2020 SIGMOD 5.9708628e-05
5,945 Doing More with Less: Characterizing Dataset Downsampling for AutoML 2021 VLDB 5.9197358e-05
6,438 CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning 2024 SIGMOD 5.7678369e-05
7,235 Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science 2021 VLDB 5.5629781e-05
7,292 AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework 2025 VLDB 5.5484494e-05
7,635 The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development 2020 SIGMOD 5.46321e-05
7,860 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.422643e-05
8,298 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.3437127e-05
8,331 DORIAN in action: Assisted Design of Data Science Pipelines 2022 VLDB 5.3379498e-05
9,842 CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines 2025 VLDB 5.1064323e-05
10,397 FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction 2027 SIGMOD 4.9605343e-05
10,793 CAPS: Cost-Aware ML Pipeline Selection 2026 VLDB 4.9605343e-05
10,925 PipeLens: Identifying Interventions for Resolving Malfunctioning Data Science Pipelines 2026 VLDB 4.9605343e-05
11,299 A Systematic Study on Early Stopping Metrics in HPO and the Implications of Uncertainty 2025 VLDB 4.9605343e-05
11,781 Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet 2023 SIGMOD 4.9605343e-05
12,031 Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study 2021 SIGMOD 4.9605343e-05
12,099 Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop 2020 CIDR 4.9605343e-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 0.0023948467
296 Towards Estimation Error Guarantees for Distinct Values 2000 PODS 0.00021874894
538 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00016725463
924 Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System 2017 VLDB 0.00013033863
1,416 Northstar: An Interactive Data Science System 2018 VLDB 0.00010707248
2,031 Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads 2018 VLDB 9.1414653e-05
2,083 LINVIEW: Incremental View Maintenance for Complex Analytical Queries 2014 SIGMOD 9.0563677e-05
2,108 Vizdom: Interactive Analytics through Pen and Touch 2015 VLDB 9.0229444e-05
5,168 Querying Without Keyboards 2013 CIDR 6.2335584e-05
6,741 GestureQuery: A Multitouch Database Query Interface 2013 VLDB 5.6772414e-05
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Semantically Similar Papers

# Overall Rank Paper Year Venue
1 1,616 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR
2 13,746 ML2DAC: Meta-learning to Democratize AutoML for Clustering Analyses 2023 SIGMOD
3 13,672 Demonstrating CatDB: LLM-based Generation of Data-centric ML Pipelines 2025 SIGMOD
4 11,466 mlidea: Interactively Improving ML Data Preparation Code via “Shadow Pipelines” 2025 VLDB
5 2,656 Explore-by-Example: An Automatic Query Steering Framework for Interactive Data Exploration 2014 SIGMOD
6 8,331 DORIAN in action: Assisted Design of Data Science Pipelines 2022 VLDB
7 6,044 A Scalable AutoML Approach Based on Graph Neural Networks 2022 VLDB
8 4,526 Optimization for Active Learning-based Interactive Database Exploration 2019 VLDB
9 7,635 The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development 2020 SIGMOD
10 12,099 Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop 2020 CIDR