Data Integration and Machine Learning: A Natural Synergy
Summary: Tutorial on data integration–machine learning synergy, highlighting ML-driven automation and human-in-the-loop pipelines to cut costs and boost accuracy. It surveys ML-based data integration, the need for clean, integrated data for end-to-end ML, and outlines cross-domain challenges. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xin Luna Dong (Amazon)
- 2. Theodoros Rekatsinas (University of Wisconsin)
BibTeX Citation
@inproceedings{dong_sigmod18,
title = {{Data Integration and Machine Learning: A Natural Synergy}},
author = {Dong, Xin Luna and Rekatsinas, Theodoros},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3197387},
url = {https://dl.acm.org/doi/10.1145/3183713.3197387},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,756 | SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle | 2020 | CIDR | 9.8172465e-05 |
| 2,290 | ZeroER: Entity Resolution using Zero Labeled Examples | 2020 | SIGMOD | 8.799251e-05 |
| 3,580 | Automatic Data Repair: Are We Ready to Deploy? | 2024 | VLDB | 7.2888516e-05 |
| 4,240 | LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems | 2021 | SIGMOD | 6.809685e-05 |
| 6,041 | Demonstration of Panda: A Weakly Supervised Entity Matching System | 2021 | VLDB | 5.9976574e-05 |
| 7,556 | ReStore - Neural Data Completion for Relational Databases | 2021 | SIGMOD | 5.5997742e-05 |
| 9,560 | Ground Truth Inference for Weakly Supervised Entity Matching | 2023 | SIGMOD | 5.2528121e-05 |
| 9,930 | Data Augmentation for ML-driven Data Preparation and Integration | 2021 | VLDB | 5.1955087e-05 |
| 11,702 | LES3: Learning-based Exact Set Similarity Search | 2021 | VLDB | 5.093636e-05 |
| 11,824 | Leveraging Organizational Resources to Adapt Models to New Data Modalities | 2020 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 2 | 4,859 | Machine Learning for Big Data | 2013 | SIGMOD |
| 3 | 7,661 | Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward | 2021 | VLDB |
| 4 | 22 | Data Integration: A Theoretical Perspective | 2002 | PODS |
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| 6 | 1,250 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD |
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| 8 | 5,510 | Responsible Data Integration: Next-generation Challenges | 2022 | SIGMOD |
| 9 | 9,930 | Data Augmentation for ML-driven Data Preparation and Integration | 2021 | VLDB |
| 10 | 7,424 | Data Integration and Machine Learning: A Natural Synergy | 2018 | VLDB |