Fernández, Maria C. ; Menasalvas, Ernestina ; Marbán, Óskar ; Pena, José M. ; Millán, Socorro
Grzymala-Busse, Jerzy - ed. ; Świniarski, Roman W. - ed. ; Zhong, Ning - ed. ; Ziarko, Wojciech - ed.
Rough Sets and Their Applications
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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 11, number 3 (2001) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
2021-09-03
2021-07-21
106
https://zbc.uz.zgora.pl/publication/65568
Nazwa wydania | Data |
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Fernández, Maria C., Minimal decision rules based on the Apriori algorithm | 2021-09-03 |
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