Discovery of Decision Rules in Relational Databases: A Rough Set Approach

  title={Discovery of Decision Rules in Relational Databases: A Rough Set Approach},
  author={Xiaohua Hu and Nick Cercone},
We develop an attribute-oriented rough set approach for the discovery of decision rules in relational databases. Our approach combines machine learning techniques and rough set theory. We consider a learning procedure to consist of the two phases data generalization and data reduction. In the data generalization phase, utilizing knowledge about concept hierarchies and relevance of the data, an attribute-oriented induction is performed attribute by attribute. Some undesirable attributes of the… CONTINUE READING

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