Association rule mining for continuous attributes using genetic network programming

@inproceedings{Taboada2007AssociationRM,
  title={Association rule mining for continuous attributes using genetic network programming},
  author={Karla Taboada and Kaoru Shimada and Shingo Mabu and Kotaro Hirasawa and Jinglu Hu},
  booktitle={GECCO},
  year={2007}
}
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. However, by means of methods of discretization, it is difficult to get highest attribute interdependency and at the same time to get lowest number of intervals. We propose a method using a new graph-based evolutionary algorithm named "Genetic Network Programming (GNP)" that can deal with continues values directly, that is, without using any discretization method as a preprocessing… CONTINUE READING
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