Analytics on Non-Normalized Data Sources: More Learning, Rather Than More Cleaning
Data analysis is increasingly performed over data assembled from uncontrolled sources, facing inconsistency in knowledge-representation conventions. The typical practice is to create “clean” data for analysis, matching entities and merging variants to overcome differences in kn...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9758752/ |