http://hdl.handle.net/20.500.12128/15668
Tytuł: | Heuristic-based feature selection for rough set approach |
Autor: | Stańczyk, Urszula Zielosko, Beata |
Słowa kluczowe: | Rough sets; Greedy heuristics; Decision rules; Feature selection; Discretisation; Stylometry |
Data wydania: | 2020 |
Źródło: | "International Journal of Approximate Reasoning" Vol. 125 (2020), s. 187-202 |
Abstrakt: | The paper presents the proposed research methodology, dedicated to the application of greedy heuristics as a way of gathering information about available features. Discovered knowledge, represented in the form of generated decision rules, was employed to support feature selection and reduction process for induction of decision rules with classical rough set approach. Observations were executed over input data sets discretised by several methods. Experimental results show that elimination of less relevant attributes through the proposed methodology led to inferring rule sets with reduced cardinalities, while maintaining rule quality necessary for satisfactory classification. |
URI: | http://hdl.handle.net/20.500.12128/15668 |
DOI: | 10.1016/j.ijar.2020.07.005 |
ISSN: | 0888-613X 1873-4731 |
Pojawia się w kolekcji: | Artykuły (WNŚiT) |
Plik | Opis | Rozmiar | Format | |
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Stanczyk_Heuristic_based_feature_selection_for_rough-1.pdf | 1,28 MB | Adobe PDF | Przejrzyj / Otwórz |
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