ECS: an interactive tool for data quality assurance
- With the increasing capabilities of machine learning systems and their potential use in safety-critical systems, ensuring high-quality data is becoming increasingly important. In this paper, we present a novel approach for the assurance of data quality. For this purpose, the mathematical basics are first discussed and the approach is presented using multiple examples. This results in the detection of data points with potentially harmful properties for the use in safety-critical systems.
Verfasserangaben: | Christian SieberichsORCiD, Simon GeerkensORCiD, Alexander BraunORCiD, Thomas Waschulzik |
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Open Access (DINI-Set): | open_access |
Qualitätssicherung: | peer reviewed |
Open Access : | Hybrid - Subskriptionszeitschrift |
Agreement: | DEAL Springer |
Fachbereich/Einrichtung: | Hochschule Düsseldorf / Fachbereich - Elektro- & Informationstechnik |
Dokumentart: | Wissenschaftlicher Artikel |
Erscheinungsjahr: | 2024 |
Sprache der Veröffentlichung: | Englisch |
Verlag: | Springer Nature |
Titel des übergeordneten Werkes (Englisch): | AI and Ethics |
DOI: | https://doi.org/10.1007/s43681-023-00393-3 |
ISSN: | 2730-5961 |
Freies Schlagwort / Tag: | DEAL; DFG Publikationskosten; HSD Publikationsfonds Data quality assurance; Data visulization; Distance based; Equivalence class sets |
Fördernde Institution: | DFG / zentraler HSD-Publikationsfonds |
Corresponding Author: | Christian Sieberichs |
DDC-Klassifikation: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten |
Lizenz (Deutsch): | Creative Commons - CC BY - Namensnennung 4.0 International |
Datum der Freischaltung: | 10.01.2024 |
Bemerkung: | Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 532148125 and supported by the central publication fund of Hochschule Düsseldorf University of Applied Sciences Data availability declaration: All data that support the findings of this scientific publication are available within this paper and/or its supplementary information files/materials. Otherwise: The data that support the findings of this scientific publication are available from the corresponding author upon reasonable request. |