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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Autori principali:	Castro-Romero, Alexander, Cobos-Lozada, Carlos-Alberto
Natura:	Online
Lingua:	eng
Pubblicazione:	Universidad Pedagógica y Tecnológica de Colombia 2023
Soggetti:	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
Accesso online:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15314