Generación de reglas estadísticas a partir de grandes bases de datos
Given a set of categorical variables, we want to predict one or more of them by the way rules. We propose an algorithm that (i) is guided by statistical results in a relational geometry where we use assymetrical association indices, and (ii) makes statistical and euclidian approximations. The iterat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de Costa Rica
2009-02-01
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| Series: | Revista de Matemática: Teoría y Aplicaciones |
| Online Access: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/106 |