Achieving an Appropriate Balance between Precision, Support, and Comprehensibility in the Evolution of Classification Rules
Fuente:
Redalyc
Saved in:
| Main Author: | |
|---|---|
| Format: | Artículo científico |
| Language: | en |
| Published: |
Asociación Española para la Inteligencia Artificial
2007
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1876490060117835776 |
|---|---|
| author | Guillermo Leguizamón |
| author_facet | Guillermo Leguizamón |
| contents | Achieving an Appropriate Balance between Precision, Support, and Comprehensibility in the Evolution of Classification Rules Guillermo Leguizamón Emiliano Carreño Ingeniería edge Ranking Data Mining Classi¯cation Rules Genetic Programming This article proposes a method for achieving an appropriate balance between the parameters of support,precision, and complexity during the evolution of classi¯cation rules by means of genetic programming. Themethod includes an adaptive procedure in order to achieve such balance. This work lies within the datamining context, more precisely, it focuses on the extraction of comprehensible knowledge where the approachintroduced plays a predominant role. Experimental results demonstrate the advantages of using the proposedmethod. 2007 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92503503 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.35 Vol.11 |
| format | Artículo científico |
| id | redalyc_92503503 |
| institution | Redalyc |
| language | en |
| publishDate | 2007 |
| publisher | Asociación Española para la Inteligencia Artificial |
| spellingShingle | Achieving an Appropriate Balance between Precision, Support, and Comprehensibility in the Evolution of Classification Rules Guillermo Leguizamón Ingeniería edge Ranking Data Mining Classi¯cation Rules Genetic Programming Achieving an Appropriate Balance between Precision, Support, and Comprehensibility in the Evolution of Classification Rules Guillermo Leguizamón Emiliano Carreño Ingeniería edge Ranking Data Mining Classi¯cation Rules Genetic Programming This article proposes a method for achieving an appropriate balance between the parameters of support,precision, and complexity during the evolution of classi¯cation rules by means of genetic programming. Themethod includes an adaptive procedure in order to achieve such balance. This work lies within the datamining context, more precisely, it focuses on the extraction of comprehensible knowledge where the approachintroduced plays a predominant role. Experimental results demonstrate the advantages of using the proposedmethod. 2007 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92503503 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.35 Vol.11 |
| title | Achieving an Appropriate Balance between Precision, Support, and Comprehensibility in the Evolution of Classification Rules |
| topic | Ingeniería edge Ranking Data Mining Classi¯cation Rules Genetic Programming |
| url | https://www.redalyc.org/articulo.oa?id=92503503 |