Artículo
Decision Tree Models Induced by Membrane Systems
Autor/es | Wang, Jun
Hu, Juan Peng, Hong Pérez Jiménez, Mario de Jesús Riscos Núñez, Agustín |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2015 |
Fecha de depósito | 2021-04-26 |
Publicado en |
|
Resumen | This paper focuses on an application of membrane systems to
solve classification problems. Decision tree technique has been widely used to
construct classification models because such models can closely resemble ... This paper focuses on an application of membrane systems to solve classification problems. Decision tree technique has been widely used to construct classification models because such models can closely resemble human reasoning and are easy to understand. A novel membrane computing-based decision tree induction algorithm is developed in this paper. An extended tissue membrane system with tree-like objects is considered as the computing framework, in which each object in cells expresses a feasible decision tree and the transformation-communication mechanism is applied to deal with the tree-like objects. The extended tissue membrane system with tree-like objects can efficiently induce a best decision tree model for a given data set. The proposed decision tree induction algorithm is evaluated on some data sets and compared with two classical methods. |
Agencias financiadoras | National Natural Science Foundation of China Research Fund of Sichuan Science and Technology |
Identificador del proyecto | No. 61170030
No. 61372187 No. 2015HH0057 |
Cita | Wang, J., Hu, J., Peng, H., Pérez Jiménez, M.d.J. y Riscos Núñez, A. (2015). Decision Tree Models Induced by Membrane Systems. Romanian Journal of Information Science and Technology (ROMJIST), 18 (3), 228-239. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Decision Tree Models Induced by ... | 249.9Kb | [PDF] | Ver/ | |