Minimal Decision Rules Based on the Apriori Algorithm

نویسندگان

  • Maŕıa C. FERNÁNDEZ
  • Ernestina MENASALVAS
  • Óscar MARBÁN
  • José M. PEÑA
  • Socorro MILLÁN
چکیده

Based on rough set theory many algorithms for rules extraction from data have been proposed. Decision rules can be obtained directly from a database. Some condition values may be unnecessary in a decision rule produced directly from the database. Such values can then be eliminated to create a more comprehensible (minimal) rule. Most of the algorithms that have been proposed to calculate minimal rules are based on rough set theory or machine learning. In our approach, in a post-processing stage, we apply the Apriori algorithm to reduce the decision rules obtained through rough sets. The set of dependencies thus obtained will help us discover irrelevant attribute values.

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تاریخ انتشار 2001