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...

書誌詳細
主要な著者:	Castro-Romero, Alexander, Cobos-Lozada, Carlos-Alberto
フォーマット:	Online
言語:	eng
出版事項:	Universidad Pedagógica y Tecnológica de Colombia 2023
主題:	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
オンライン･アクセス:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/15314

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