- Tytuł:
- Minimal Decision Rules Based on the Apriori Algorithm
- Autorzy:
-
Fernandez, M. C.
Menasalvas, E.
Marban, O.
Pena, J. M.
Millan, S. - Powiązania:
- https://bibliotekanauki.pl/articles/908364.pdf
- Data publikacji:
- 2001
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
baza danych
algorytmy
rough sets
rough dependencies
association rules
a priori algorithm
minimal decision rules - Opis:
- 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.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2001, 11, 3; 691-704
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł