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...
- Autores:
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2023
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/14367
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15314
https://repositorio.uptc.edu.co/handle/001/14367
- Palabra clave:
- Classification algorithms
Coverage arrays
Data quality
Data sets
Data representativeness
Algoritmos de clasificación
Arreglos de cobertura
Calidad de datos
Conjuntos de datos
Representatividad de datos
- Rights
- openAccess
- License
- Copyright (c) 2023 Alexander Castro-Romero, Carlos-Alberto Cobos-Lozada
