@misc{Fernández_Maria_C._Minimal, author={Fernández, Maria C. and Menasalvas, Ernestina and Marbán, Óskar and Pena, José M. and Millán, Socorro}, howpublished={online}, publisher={Zielona Góra: Uniwersytet Zielonogórski}, language={eng}, abstract={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.}, abstract={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.}, type={artykuł}, title={Minimal decision rules based on the Apriori algorithm}, keywords={rough sets, rough dependencies, association rules, Apriori algorithm, minimal decision rules}, }