Discovering hidden association rules

  title={Discovering hidden association rules},
  author={Marco-Antonio Balderas and Fernando Berzal and J. Cubero and Eduardo M. Eisman},
Association rules have become an important paradigm in knowledge discovery. Nevertheless, the huge number of rules which are usually obtained from standard datasets limits their applicability. In order to solve this problem, several solutions have been proposed, as the definition of subjective measures of interest for the rules or the use of more restrictive accuracy measures. Other approaches try to obtain different kinds of knowledge, referred to as peculiarities, infrequent rules, or… CONTINUE READING

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An efficient method for association rule mining in relational databases

  • F. Berzal, J. Cubero, J. Marin, J. Serrano
  • Data and Knowledge Engineering,
  • 2001
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