Data Quality Assessment for ML Decision-Making

Alexandra-Ştefania Moloiu (), Grigore Albeanu (), Henrik Madsen () and Florin Popenţiu-Vlădicescu ()
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Alexandra-Ştefania Moloiu: TypingDNA
Grigore Albeanu: “Spiru Haret” University
Henrik Madsen: Danish Technical University
Florin Popenţiu-Vlădicescu: University “Politehnica” of Bucharest & Academy of Romanian Scientists

A chapter in Applications in Reliability and Statistical Computing, 2023, pp 163-178 from Springer

Abstract: Abstract Data quality has a strong effect on the design, validation and testing of decision-making systems. New paradigms of future models in the knowledge society need to analyze clean, complete, consistent, and high-quality data. This paper presents three case studies from different fields in which models are constructed using machine learning strategies. Projects on text recognition, electrocardiogram-based identification and data analysis are described in relation to input data quality and system performance.

Keywords: Quality factors; Time series; Neural networks; Text recognition; Electrocardiogram based identification; Data analysis (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-21232-1_8

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DOI: 10.1007/978-3-031-21232-1_8

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