Mostrar el registro sencillo del objeto digital LOPEZ CHAU, ASDRUBAL Cervantes Canales, Jair LOPEZ GARCIA, LOURDES García Lamont, Farid
dc.creator LOPEZ CHAU, ASDRUBAL; 100664
dc.creator Cervantes Canales, Jair; 101829
dc.creator LOPEZ GARCIA, LOURDES; 901504
dc.creator García Lamont, Farid; 216477 2016-05-11T17:16:58Z 2016-05-11T17:16:58Z 2013-11-15
dc.identifier.issn 0957-4174
dc.description.abstract Univariate decision trees are classifiers currently used in many data mining applications. This classifier discovers partitions in the input space via hyperplanes that are orthogonal to the axes of attributes, producing a model that can be understood by human experts. One disadvantage of univariate decision trees is that they produce complex and inaccurate models when decision boundaries are not orthogonal to axes. In this paper we introduce the Fisher’s Tree, it is a classifier that takes advantage of dimensionality reduction of Fisher’s linear discriminant and uses the decomposition strategy of decision trees, to come up with an oblique decision tree. Our proposal generates an artificial attribute that is used to split the data in a recursive way. The Fisher’s decision tree induces oblique trees whose accuracy, size, number of leaves and training time are competitive with respect to other decision trees reported in the literature. We use more than ten public available data sets to demonstrate the effectiveness of our method. es
dc.language.iso eng es
dc.publisher Expert Systems with Applications es
dc.relation.ispartofseries 10.1016/j.eswa.2013.05.044;
dc.rights openAccess
dc.subject Oblique decision tree es
dc.subject Fisher's linear discriminant es
dc.subject C4.5 es
dc.subject.classification INGENIERÍA Y TECNOLOGÍA
dc.title Fisher’s decision tree es
dc.type Artículo
dc.provenance Científica
dc.road Dorada
dc.ambito Internacional es
dc.audience students
dc.audience researchers
dc.type.conacyt article
dc.identificator 7

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  • Título
  • Fisher’s decision tree
  • Autor
  • Cervantes Canales, Jair
  • García Lamont, Farid
  • Fecha de publicación
  • 2013-11-15
  • Editor
  • Expert Systems with Applications
  • Tipo de documento
  • Artículo
  • Palabras clave
  • Oblique decision tree
  • Fisher's linear discriminant
  • C4.5
  • Los documentos depositados en el Repositorio Institucional de la Universidad Autónoma del Estado de México se encuentran a disposición en Acceso Abierto bajo la licencia Creative Commons: Atribución-NoComercial-SinDerivar 4.0 Internacional (CC BY-NC-ND 4.0)

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