@misc{Szpunar-Huk_Ewa_Pozyskiwanie_2005,
 author={Szpunar-Huk, Ewa},
 year={2005},
 rights={Wszystkie prawa zastrzeżone (Copyright)},
 description={Prace Naukowe Akademii Ekonomicznej we Wrocławiu; 2005; nr 1064, s. 268-279},
 publisher={Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu},
 language={pol},
 abstract={The article discusses main problems connected to the issues of knowledge discovery from data using heterogenous ensemble classifiers (or committee). There are presented main types of such classifiers and their architectures, methods of building and ways of making decisions. In this study are described main achievements in this domain and theoretical backgrounds, which explain principles and interesting properties of committee classifiers. The article also points to the need of knowledge extraction from ensemble of classifiers and within the framework of this domain there is presented a short survey of some used techniques and knowledge extraction methods. The study contains proposal of the method of knowledge extraction from ensemble classifiers based on reduction of number of simple classifiers , which are a part of ensemble (in particularly decision trees), and on using Trepan algorithm. To show the legitimacy of proposed method there are presented descriptions of experiments, along with analyses of their results. As a completion there are presented proposals of some improvements, which demand yet further analysis and research.},
 title={Pozyskiwanie wiedzy z danych przy wykorzystaniu klasyfikatorów złożonych},
 type={artykuł},
}