Autor:
Fernández, Maria C. ; Menasalvas, Ernestina ; Marbán, Óskar ; Pena, José M. ; Millán, Socorro
Współtwórca:
Grzymala-Busse, Jerzy - ed. ; Świniarski, Roman W. - ed. ; Zhong, Ning - ed. ; Ziarko, Wojciech - ed.
Tytuł:
Minimal decision rules based on the Apriori algorithm
Podtytuł:
Rough Sets and Their Applications
Tytuł publikacji grupowej:
Temat i słowa kluczowe:
rough sets ; rough dependencies ; association rules ; Apriori algorithm ; minimal decision rules
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. ; 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.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Data wydania:
Typ zasobu:
Strony:
Źródło:
AMCS, volume 11, number 3 (2001) ; kliknij tutaj, żeby przejść