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International Society of Science and Applied Technologies |
| Data Quality Assessment for ML based Decision-Making Systems | ||||
| Author | Alexandra-Stefania Moloiu
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| Co-Author(s) | Grigore Albeanu; Henrik Madsen; Florin Popentiu-Vladicescu
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| Abstract | Data quality has a strong effect on decision-making systems design, validation and testing. This paper presents three case studies from different fields where models are built using machine learning strategies. The projects on text recognition, electrocardiogram based identification, and data analyses are described related to input data quality and the system performance.
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| Keywords | quality factors, neural networks, text recognition, electrocardiogram based identification, data analysis | |||
| Article #: RQD26-39 | ||||
Proceedings of 26th ISSAT International Conference on Reliability & Quality in Design |