Discovering Numeric Association Rules via Evolutionary Algorithm

@inproceedings{Vzquez2002DiscoveringNA,
  title={Discovering Numeric Association Rules via Evolutionary Algorithm},
  author={Jacinto Mata V{\'a}zquez and Jos{\'e} Luis {\'A}lvarez Mac{\'i}as and Jos{\'e} Crist{\'o}bal Riquelme Santos},
  booktitle={PAKDD},
  year={2002}
}
Association rules are one of the most used tools to discover relationships among attributes in a database. Nowadays, there are many efficient techniques to obtain these rules, although most of them require that the values of the attributes be discrete. To solve this problem, these techniques discretize the numeric attributes, but this implies a loss of information. In a general way, these techniques work in two phases: in the first one they try to find the sets of attributes that are, with a… CONTINUE READING
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