Estudio del comportamiento del Algoritmo K* en bases e datos internacionales

Autores/as

  • Yoan Martínez-López Universidad de Camagüey Ignacio Agramonte
  • Julio Madera-Quintana Universidad de Camagüey Ignacio Agramonte
  • Ireimis Leguen de Varona Universidad de Camagüey Ignacio Agramonte

Palabras clave:

Clasificación, algoritmo K*, experimental, precisión, datos

Resumen

Este trabajo presenta un estudio experimental del algoritmo K*, el cual se comparó con cinco algoritmos de clasificación de los diez principales algoritmos de minería de datos identificados en la Conferencia Internacional IEEE sobre Minería de Datos (ICDM), los cuales son C4.5, SVM, kNN, Naive Bayes y CART. Los resultados experimentales muestran un rendimiento satisfactorio del algoritmo K* en comparación con estos enfoques.

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Biografía del autor/a

Yoan Martínez-López, Universidad de Camagüey Ignacio Agramonte

MSc. Professor, Computer Science Department, Universidad de Camagüey Ignacio Agramonte

Julio Madera-Quintana, Universidad de Camagüey Ignacio Agramonte

Professor of Computer Science Department, Universidad de Camagüey “Ignacio Agramonte”

Ireimis Leguen de Varona, Universidad de Camagüey Ignacio Agramonte

Professor of Computer Science Department, Universidad de Camagüey “Ignacio Agramonte”

Citas

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Publicado

2016-12-30

Cómo citar

Martínez-López, Y., Madera-Quintana, J., & Leguen de Varona, I. (2016). Estudio del comportamiento del Algoritmo K* en bases e datos internacionales. Revista Politécnica, 12(23), 51–56. Recuperado a partir de https://revistas.elpoli.edu.co/index.php/pol/article/view/898

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