DEEM 2019: Workshop on Data Management for End-to-End Machine Learning
Summary: DEEM 2019 workshop at the ML-DB systems nexus for end-to-end ML pipelines. Focus on arising data management issues across ML workflows; cross-disciplinary discussion between data management, systems, and applied ML researchers. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Sebastian Schelter (New York University)
- 2. Neoklis Polyzotis (Google)
- 3. Manasi Vartak (Massachusetts Institute of Technology)
- 4. Stefan Seufert (Amazon)
BibTeX Citation
@inproceedings{schelter_sigmod19,
title = {{DEEM 2019: Workshop on Data Management for End-to-End Machine Learning}},
author = {Schelter, Sebastian and Polyzotis, Neoklis and Vartak, Manasi and Seufert, Stefan},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3323598},
url = {https://dl.acm.org/doi/10.1145/3299869.3323598},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,147 | Data Management Challenges in Production Machine Learning | 2017 | SIGMOD | 0.00011974846 |
| 1,350 | Automating Large-Scale Data Quality Verification | 2018 | VLDB | 0.00011065626 |
| 1,670 | MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis | 2018 | SIGMOD | 0.00010045615 |
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