Ir al contenido

Documat


Association Rules: Problems, solutions and new applications

  • María N. Moreno García [1] ; Saddys Segrera [1] ; Vivian F. López [1]
    1. [1] Universidad de Salamanca

      Universidad de Salamanca

      Salamanca, España

  • Localización: Actas del III Taller Nacional de Minería de Datos y Aprendizaje / Roberto Ruiz (aut.) Árbol académico, José Cristobal Riquelme Santos (aut.) Árbol académico, Jesús Salvador Aguilar-Ruiz (aut.) Árbol académico, 2005, ISBN 84-9732-449-8, págs. 317-323
  • Idioma: inglés
  • Enlaces
  • Resumen
    • Association rule mining is an important component of data mining. In the last years a great number of algorithms have been proposed with the objective of solving the obstacles presented in the generation of association rules. In this work, we offer a revision of the main drawbacks and proposals of solutions documented in the literature, including our own ones. The work is focused also in the classification function of the association rules, a promising technique which is the subject of recent studies.


Fundación Dialnet

Mi Documat

Opciones de artículo

Opciones de compartir

Opciones de entorno