Pregled bibliografske jedinice broj: 736837
Comparison of Feature Selection Techniques in Knowledge Discovery Process
Comparison of Feature Selection Techniques in Knowledge Discovery Process // TEM Journal, 3 (2014), 4; 285-290 (podatak o recenziji nije dostupan, članak, znanstveni)
CROSBI ID: 736837 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Comparison of Feature Selection Techniques in Knowledge Discovery Process
Autori
Oreški, Dijana ; Novosel, Tomislav
Izvornik
TEM Journal (2217-8309) 3
(2014), 4;
285-290
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Data mining; Feature selection; Classification accuracy; Big data.
Sažetak
The process of knowledge discovery in data consists of five steps. Data preparation, which includes data cleaning and feature selection, takes away from 60% to 95% total time of the whole process. Thus, it is crucial phase of the process. The purpose of this research is to investigate feature selection techniques performance by conducting empirical research. Our comparison of three feature selection techniques reveals significant difference in feature selection techniques performance.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin
Profili:
Dijana Oreški
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
