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A Machine Learning System for Data Repair and Predictions on Structured Data HoloClean is a statistical inference engine to impute, clean, and enrich data. As a weakly supervised machine learning system, HoloClean leverages available quality rules, value correlations, reference data, and multiple other signals to build a probabilistic model that accurately captures the data generation process, and
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http://pages.cs.wisc.edu/~thodrek/
WuLab at Columbia
http://learningsys.org/nips17/assets/papers/paper_19.pdf
https://arxiv.org/pdf/1702.00820.pdf
GitHub - HoloClean/holoclean: A Machine Learning System for Data Enrichment.
Recruit's Artificial Intelligence Laboratory Releases BigGorilla: An Open-source Data Integration and Data Preparation Ecosystem
TechCrunch | Startup and Technology News
http://yz.mit.edu/papers/webtables-vldb08.pdf
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