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ORCID: https://orcid.org/0000-0002-5615-6798, Marbán Gallego, Óscar and Peña Sánchez, José María
ORCID: https://orcid.org/0000-0001-9123-1020
(2001).
Minimal Decision Rules Based on the A Priori Algorithm.
"International Journal of Applied Mathematics and Computer Science", v. 11
(n. 3);
pp. 671-704.
ISSN 1641-876X.
| Título: | Minimal Decision Rules Based on the A Priori Algorithm |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | International Journal of Applied Mathematics and Computer Science |
| Fecha: | Enero 2001 |
| ISSN: | 1641-876X |
| Volumen: | 11 |
| Número: | 3 |
| Materias: | |
| ODS: | |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Lenguajes y Sistemas Informáticos e Ingeniería del Software |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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Based on rough set theory many algorithms for rules extraction from data have been proposed. Decision rules can be obtained directly from a database. Some condition values may be unnecessary in a decision rule produced directly from the database. Such values can then be eliminated to create a more comprehensi- ble (minimal) rule. Most of the algorithms that have been proposed to calculate minimal rules are based on rough set theory or machine learning. In our ap- proach, in a post-processing stage, we apply the Apriori algorithm to reduce the decision rules obtained through rough sets. The set of dependencies thus obtained will help us discover irrelevant attribute values.
| ID de Registro: | 9599 |
|---|---|
| Identificador DC: | https://oa.upm.es/9599/ |
| Identificador OAI: | oai:oa.upm.es:9599 |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 30 Nov 2011 10:16 |
| Ultima Modificación: | 27 Feb 2024 10:58 |
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