Minimal Decision Rules Based on the A Priori Algorithm

Fernández Baizán, Covadonga, Menasalvas Ruiz, Ernestina 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.

Descripción

Título: Minimal Decision Rules Based on the A Priori Algorithm
Autor/es:
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

Texto completo

[thumbnail of INVE_MEM_2001_89161.pdf]
Vista Previa
PDF (Portable Document Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (156kB) | Vista Previa

Resumen

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.

Más información

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