Title:

Feature selection methods in datamining techniques

Group publication title:

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

Title in english:

Metody selekcji cech w technikach data mining

Creator:

Ziemba, Paweł ; Piwowarski, Mateusz

Subject and Keywords:

data mining ; dimension reduction ; feature selection ; feature filters ; redukcja ilości danych ; selekcja cech ; filtry cech

Description:

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics, 2011, Nr 206, s. 213-223

Abstrakt:

Data mining techniques are largely based on machine learning algorithms. They are to serve to extract data models which, due to their large information content, are not recognized by people. Data redundancy poses a problem both for data mining algorithms as well as people, which is why various methods are used in order to reduce the amount of analyzed data, including data mining methods such as feature selection. The article outlines basic issues linked with feature selection and contains an analysis of five feature selection algorithms belonging to the filter category. Results obtained by each method were validated with the help of CART decision tree algorithms. The CART analysis revealed that the results of each of the five algorithms are acceptable

Publisher:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Place of publication:

Wrocław

Date:

2011

Resource Type:

artykuł

Format:

application/pdf

Language:

eng

Relation:

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics; 2011; Nr 206

Rights:

Wszystkie prawa zastrzeżone (Copyright)

Access Rights:

Dla wszystkich w zakresie dozwolonego użytku

Location:

Uniwersytet Ekonomiczny we Wrocławiu