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Minimal Decision Rules Based on the A Priori Algorithm
Citation
Fernández Baizán, Covadonga and Menasalvas Ruiz, Ernestina and Marbán Gallego, Óscar and Peña Sanchez, Jose Maria (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.
Description
| Title: | Minimal Decision Rules Based on the A Priori Algorithm |
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| Author/s: |
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| Item Type: | Article |
| Título de Revista/Publicación: | International Journal of Applied Mathematics and Computer Science |
| Date: | January 2001 |
| ISSN: | 1641-876X |
| Volume: | 11 |
| Subjects: | |
| Faculty: | Facultad de Informática (UPM) |
| Department: | Lenguajes y Sistemas Informáticos e Ingeniería del Software |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
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.
More information
| Item ID: | 9599 |
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| DC Identifier: | https://oa.upm.es/9599/ |
| OAI Identifier: | oai:oa.upm.es:9599 |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 30 Nov 2011 10:16 |
| Last Modified: | 20 Apr 2016 17:57 |
