- Tytuł:
- Evolutionary approach to rule extraction from medical data
- Autorzy:
-
Kwaśnicka, H.
Markowska-Kaczmar, U.
Osojca, T. - Powiązania:
- https://bibliotekanauki.pl/articles/333717.pdf
- Data publikacji:
- 2004
- Wydawca:
- Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
- Tematy:
-
ekstrakcja reguł
obliczenia ewolucyjne
rule extraction
evolutionary computation - Opis:
- In the paper the method called CGA based on a cooperating genetic algorithm is presented. The CGA is developed for searching a set of rules describing classes in classification problems on the basis of training examples. The details of the method, such as a schema of coding (a chromosome), and a fitness function are shortly described. The method is independent of the type of attributes and it allows choosing different evaluation functions. Developed method was tested using different benchmark data sets. Next, in order to evaluate the efficiency of CGA, it was tested using the Breast Cancer data set with 10 fold cross validation technique.
- Źródło:
-
Journal of Medical Informatics & Technologies; 2004, 7; KB3-12
1642-6037 - Pojawia się w:
- Journal of Medical Informatics & Technologies
- Dostawca treści:
- Biblioteka Nauki
Artykuł