A hybrid data mining method: Exploring Sequential indicators over Association Rules

Autores/as

  • Heitor Murilo Gomes Universidade Tuiuti do Paraná
  • Deborah Ribeiro de Carvalho Pontifícia Universidade Católica do Paraná

Palabras clave:

data mining, sequential data mining, knowledge discovery in databases

Resumen

This work presents a hybrid data mining method which was designed to combine knowledge from an Association Rules discovery process along with chronological order evaluation. In order to evaluate Association Rules chronological order it was developed the Chrono Assoc algorithm.  To   illustrate our methodology we present guidelines regarding database preparation, algorithm execution and post processing.

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Publicado

2011-02-07

Número

Vol. 1 Núm. 1 (2011)

Sección

Papers