Estado de la cuestión de la selección de características y sus aplicaciones

• Autores: Yolanda Orenes Casanova
• Localización: Revista Doctorado UMH, ISSN-e 2530-7320, Vol. 2, Nº. 1, 2016
• Idioma: español
• DOI: 10.21134/doctumh.v2i1.1265
• Títulos paralelos:
  • Feature selection state of the art and their applications
• Enlaces
  • Texto completo
• Resumen
  • español

    En este artículo se tienen principalmente dos objetivos: primero, el estudio de forma exhaustiva del método de Selección de Características, y segundo, la clasificación de diferentes aplicaciones de uso de dicho método, todo ello servirá para elaborar un Estado del Arte del tema. Que sirve de punto de partida para establecer diferentes problemas abiertos que quedan pendientes de estudiar en el futuro. Asimismo, cabe destacar que se ha realizado una recopilación bastante diversa en cuanto a las aplicaciones encontradas de la Selección de Características obtenidas de diferentes fuentes bibliográficas, lo que permite hacerse una idea sobre la relevancia de este tipo de técnicas en la actualidad, sobre todo en un mundo en el que cada vez hay más información y los agentes económicos y sociales quieren extraer conclusiones relevantes de la misma que les ayude  a tomar mejores decisiones. Tras esta revisión de la literatura sobre la Selección de Características encontramos que existe una cierta problemática sobre la Clasificación que posibilita el establecimiento de una futura línea de investigación que mejore los resultados de investigaciones anteriores. El objetivo de esta futura línea de investigación debe enfocarse a la reducción de la complejidad computacional de las técnicas de Selección de Características, es decir, la dimensión de las entradas y mejora del rendimiento del clasificador. Adicionalmente se observa que queda pendiente de investigar nuevos métodos que permitan trabajar con variables numéricas y con ello que favorezcan una mayor aplicabilidad de las técnicas de Selección de Características.

  • English

    The goals of the present article are twofold: first, the deeply study of the Feature Selection method and second, the classification of different applications of this method. Both goals will allow developing a State of the Art on this topic. Which serves as a starting point for establishing different open issues remain to study in the future.It should also be noted that there has been a fairly diverse collection regarding the applications found in the Feature Selection obtained from different bibliographic sources, which gives an idea of the relevance of these techniques now, especially in a world in which more and more information and economic and social agents want to draw relevant conclusions from it that will help them make better decisions.After this review of the literature on the Feature Selection, we find out that there are some problems about the classification that enables the establishment of a future line of research that improves the results of previous investigations. The aim of this future line of research should focus on reducing the computational complexity of feature selection techniques, i.e., the size of the inputs and improving the performance of the classifier.Additionally it observes that remains to investigate new methods to work with numeric variables and thus conducive to greater applicability of feature selection techniques.

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