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Towards Selecting Reducts for Building Decision Rules for Rule-Based Classifiers
In rule-based classifiers, calculating all possible rules of a learning sample consumes many resources due to its exponential complexity. Therefore, finding ways to reduce the number and length of the rules without affecting the efficacy of a classifier remains an interesting problem. Reducts from r...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297591/ http://dx.doi.org/10.1007/978-3-030-49076-8_7 |