Data Quality Integration
Data Quality Integration is a framework that systematically incorporates data quality assessment and improvement processes into data integration workflows to ensure consistency, accuracy, and reliability of merged datasets.
20
Publications
525
Citations
112
Authors
55
Institutions
Publications per year
2017–2026
13
Parents
20
A Data Quality-Driven View of MLOps
Cédric Renggli, Luka Rimanić, Nezihe Merve Gürel et al. · arXiv (Cornell University) · 2021 · 43 citations · Full text
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55
Politecnico di Milano
Milan, Italy
3 h-index
5 publications
124 citations

University of Cologne
Cologne, Germany
2 h-index
6 publications
116 citations

University of Milano-Bicocca
Milan, Italy
2 h-index
4 publications
100 citations
NOAA National Environmental Satellite Data and Information Service
Silver Spring, United States
1 h-index
2 publications
38 citations
University of North Carolina at Asheville
Asheville, United States
1 h-index
1 publications
19 citations

Sapienza University of Rome
Rome, Italy
1 h-index
2 publications
24 citations
Rhea (Belgium)
Wavre, Belgium
1 h-index
1 publications
19 citations
North Carolina State University
Raleigh, United States
1 h-index
1 publications
19 citations
1–8 of 55
BISE · 1 publications · 10 citations
1
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SRL · 1 publications · 17 citations
1
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Conference · 1 publications · 14 citations
1
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JOSIS · 1 publications · 23 citations
1
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CCA · 1 publications · 15 citations
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