Measuring Representativeness Using Covering Array Principles

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...

Полное описание

Библиографические подробности
Главные авторы:	Castro-Romero, Alexander, Cobos-Lozada, Carlos-Alberto
Формат:	Online
Язык:	eng
Опубликовано:	Universidad Pedagógica y Tecnológica de Colombia 2023
Предметы:	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-ссылка:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15314

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