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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.

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Metadaten
Author:Christian SieberichsORCiD, Simon GeerkensORCiD, Alexander BraunORCiD, Thomas Waschulzik
open access (DINI-Set):open_access
Fachbereich/Einrichtung:Hochschule Düsseldorf / Fachbereich - Elektro- & Informationstechnik
Document Type:Preprint
Year of Completion:2023
Language of Publication:English
Publisher:arXiv
DOI:https://doi.org/10.48550/arXiv.2307.04368
ArXiv Id:http://arxiv.org/abs/2307.04368
Tag:Artificial Intelligence; Machine Learning; PrePrint; Systems and Control
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Licence (German):keine Lizenz - nur Metadaten
Release Date:2023/08/25
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