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DORIAN in action: Assisted Design of Data Science Pipelines

Summary: Human-in-the-loop DS pipeline designer with wide task/operator coverage and user-defined evaluation. Given dataset and task, returns pipelines; enables modify/execute/evaluate; reuses past pipelines via similarity search; learns from feedback; no-code. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
13058
Venue
VLDB
Year
2022
Pagerank
5.4811783e-05
Overall Rank
8,134 | 44.20%
DOI
10.14778/3554821.3554882

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{redyuk_vldb22,
        title = {{DORIAN in action: Assisted Design of Data Science Pipelines}},
        author = {Redyuk, Sergey and Kaoudi, Zoi and Schelter, Sebastian and Markl, Volker},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {12},
        pages = {3714--3717},
        doi = {10.14778/3554821.3554882},
        url = {https://doi.org/10.14778/3554821.3554882},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,949 Modyn: Data-Centric Machine Learning Pipeline Orchestration 2025 SIGMOD 5.3462965e-05
10,540 CAPS: Cost-Aware ML Pipeline Selection 2026 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,004 Democratizing Data Science through Interactive Curation of ML Pipelines 2019 SIGMOD 0.00012701932
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