Data Quality Bias
Data Quality Bias is a systematic error in data quality assessment or measurement that arises from non-representative data sampling, flawed data collection procedures, or inherent limitations in data sources, leading to distorted or misleading conclusions about the true quality of data within a given context.
26
Publications
1K
Citations
74
Authors
30
Institutions
Publications per year
2017–2026
9
Parents
26
Stefan Steger, Volkmar Mair, Christian Kofler et al. · The Science of The Total Environment · 2021 · 141 citations · Full text
Natural Sciences, Earth Sciences, Geological Engineering +17
The Effects of Data Quality on Machine Learning Algorithms.
Valerie Sessions, Marco Valtorta · ICIQ · 2006 · 64 citations
1–5 of 26
74
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 74
30
Technische Universität Berlin
Berlin, Germany
2 h-index
3 publications
59 citations

Eurac Research
Bolzano, Italy
1 h-index
5 publications
705 citations
AGH University of Krakow
Krakow, Poland
1 h-index
1 publications
15 citations
Jagiellonian University
Krakow, Poland
1 h-index
1 publications
15 citations
Kootenay Association for Science & Technology
Rossland, Canada
1 h-index
2 publications
290 citations
Biomedical Research Institute
Rockville, United States
1 h-index
5 publications
135 citations
New Jersey Institute of Technology
Newark, United States
1 h-index
1 publications
13 citations
AT&T (United States)
Bedminster, United States
1 h-index
2 publications
26 citations
1–8 of 30
2 publications · 54 citations
2
h-index
2 publications · 204 citations
2
h-index
1 publications · 27 citations
1
h-index
1 publications · 27 citations
1
h-index
Repository · 1 publications · 11 citations
1
h-index
1–5