Association RulesProblems, solutions and new applications

  1. María N. Moreno García 1
  2. Saddys Segrera 1
  3. Vivian F. López 1
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Book:
Actas del III Taller Nacional de Minería de Datos y Aprendizaje
  1. Ruiz Sánchez, Roberto
  2. Riquelme, José C.
  3. Aguilar Ruiz, Jesús Salvador

Publisher: Thomson-Paraninfo

ISBN: 84-9732-449-8

Year of publication: 2005

Pages: 317-323

Congress: Taller de Minería de Datos y Aprendizaje (3. 2005. Granada)

Type: Conference paper

DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Abstract

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.

Data source: Dialnet