Please use this identifier to cite or link to this item:
http://ri.uaemex.mx/handle20.500.11799/41191| DC Field | Value | Language |
|---|---|---|
| dc.creator | ASDRUBAL LOPEZ CHAU | - |
| dc.creator | Jair Cervantes Canales | - |
| dc.creator | LOURDES LOPEZ GARCIA | - |
| dc.creator | Farid García Lamont | - |
| dc.date | 2013-11-15 | - |
| dc.identifier | http://hdl.handle.net/20.500.11799/41191 | - |
| dc.description | 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. | - |
| dc.language | eng | - |
| dc.publisher | Expert Systems with Applications | - |
| dc.relation | 10.1016/j.eswa.2013.05.044; | - |
| dc.rights | info:eu-repo/semantics/openAccess | - |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0 | - |
| dc.source | 0957-4174 | - |
| dc.subject | Oblique decision tree | - |
| dc.subject | Fisher's linear discriminant | - |
| dc.subject | C4.5 | - |
| dc.subject | info:eu-repo/classification/cti/7 | - |
| dc.title | Fisher’s decision tree | - |
| dc.type | article | - |
| dc.audience | students | - |
| dc.audience | researchers | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| Appears in Collections: | Producción | |
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.