Data Integration and Machine Learning: A Natural Synergy
Summary: Tutorial on Data Integration and Machine Learning: ML-powered data integration and human-in-the-loop pipelines; clean, relevant data for ML. Three: ML in data integration; data integration for ML analytics; open challenges at the data-integration–ML frontier. (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
@article{dong_vldb18,
title = {{Data Integration and Machine Learning: A Natural Synergy}},
author = {Dong, Xin Luna and Rekatsinas, Theodoros},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {2094--2097},
doi = {10.14778/3229863.3229876},
url = {https://doi.org/10.14778/3229863.3229876},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,094 | Data Collection and Quality Challenges for Deep Learning | 2020 | VLDB | 6.264232e-05 |
| 6,902 | DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines | 2022 | CIDR | 5.6365602e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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