Data Quality Assessment for ML based Decision-Making Systems

Moloiu Alexandra-Ètefania; Albeanu Grigore; Madsen Henrik; PopenÈiu VlÄdicescu Florin

Data Quality Assessment for ML based Decision-Making Systems

Moloiu Alexandra-Ètefania
, Albeanu Grigore
, Madsen Henrik
, PopenÈiu VlÄdicescu Florin

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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.

Original language	English
Title of host publication	Proceedings of 26^th Issat International Conference on Reliability and Quality in Design
Publisher	IEEE
Publication date	2021
Pages	39-43
ISBN (Print)	9780991057696
Publication status	Published - 2021
Event	26^th Issat International Conference on Reliability and Quality in Design - Miami, United States Duration: 5 Aug 2021 → 7 Aug 2021

Conference

Conference	26^th Issat International Conference on Reliability and Quality in Design
Country/Territory	United States
City	Miami
Period	05/08/2021 → 07/08/2021

Keywords

Data analysis
Electrocardiogram based identification
Neural networks
Quality factors
Text recognition

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title = "Data Quality Assessment for ML based Decision-Making Systems",

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.",

keywords = "Data analysis, Electrocardiogram based identification, Neural networks, Quality factors, Text recognition",

author = "Moloiu Alexandra-{\`E}tefania and Albeanu Grigore and Madsen Henrik and Florin, \{Popen{\`E}iu Vl{\"A}dicescu\}",

year = "2021",

language = "English",

isbn = "9780991057696",

pages = "39--43",

booktitle = "Proceedings of 26th Issat International Conference on Reliability and Quality in Design",

publisher = "IEEE",

address = "United States",

note = "26<sup>th</sup> Issat International Conference on Reliability and Quality in Design, ISSAT RQD 2021 ; Conference date: 05-08-2021 Through 07-08-2021",

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AU - Alexandra-Ètefania, Moloiu

AU - Grigore, Albeanu

AU - Henrik, Madsen

AU - Florin, PopenÈiu VlÄdicescu

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Data analysis

KW - Electrocardiogram based identification

KW - Neural networks

KW - Quality factors

KW - Text recognition

M3 - Article in proceedings

SN - 9780991057696

SP - 39

EP - 43

BT - Proceedings of 26th Issat International Conference on Reliability and Quality in Design

PB - IEEE

T2 - 26<sup>th</sup> Issat International Conference on Reliability and Quality in Design

Y2 - 5 August 2021 through 7 August 2021

ER -

Data Quality Assessment for ML based Decision-Making Systems

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Conference

Keywords

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