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- URN zum Zitieren dieses Dokuments:
- urn:nbn:de:bvb:355-epub-769086
- DOI zum Zitieren dieses Dokuments:
- 10.5283/epub.76908
Zusammenfassung
In recent years, machine learning (ML) has become ubiquitous in sectors including transportation, security, health, and finance to analyze large amounts of data and support decision-making. However, real-world datasets used in ML often exhibit various data quality (DQ) defects that can significantly impair the performance and validity of ML models and thus also the decisions derived from them. ...
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