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...
Päätekijät: | Castro-Romero, Alexander, Cobos-Lozada, Carlos-Alberto |
---|---|
Aineistotyyppi: | Online |
Kieli: | eng |
Julkaistu: |
Universidad Pedagógica y Tecnológica de Colombia
2023
|
Aiheet: | |
Linkit: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15314 |
- Samankaltaisia teoksia
-
Metaheuristic algorithms for building Covering Arrays: A review
Tekijä: Timaná-Peña, Jimena Adriana, et al.
Julkaistu: (2016) -
Variables characterization by using computing intelligence to identify the cattle s health disorders
Tekijä: Sarmiento-Pacanchique, Edgar Leonardo, et al.
Julkaistu: (2015) -
Proposal for the Evaluation of Open Data Portals
Tekijä: Herrera-Melo, Camila Andrea, et al.
Julkaistu: (2019) -
The value of open data government: a quality assessment approach
Tekijä: Maestre-Gongora , Gina, et al.
Julkaistu: (2021) -
Knowing the Big Data
Tekijä: Camargo-Vega, Juan José, et al.
Julkaistu: (2014)