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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Castro-Romero, Alexander, Cobos-Lozada, Carlos-Alberto
Μορφή:	Online
Γλώσσα:	eng
Έκδοση:	Universidad Pedagógica y Tecnológica de Colombia 2023
Θέματα:	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
Διαθέσιμο Online:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15314