Measuring Representativeness Using Covering Array Principles

Representativeness is an important data quality characteristic in data science processes; a data sample is said to be representative when it reflects a larger group as accurately as possible. Having low representativeness indices in the data can lead to the generation of biased models. Hence, this s...

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Bibliografische gegevens

Hoofdauteurs:	Castro-Romero, Alexander, Cobos-Lozada, Carlos-Alberto
Formaat:	Online
Taal:	eng
Gepubliceerd in:	Universidad Pedagógica y Tecnológica de Colombia 2023
Onderwerpen:	algoritmos de clasificación arreglos de cobertura calidad de datos conjuntos de datos representatividad de datos classification algorithms coverage arrays data quality data sets data representativeness
Online toegang:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15314