Naslov
Attribute Ranking for Intelligent Data Analysis in Medical Applications

Autori
Gamberger, Dragan ; Prcela, Marin ; Bošnjak Matko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the ITI 2008 30th International Conference on Information Technology Interfaces / Lužar-Štiffler, Vesna ; Hlju-Dobrić, Vesna ; Bekić, Zoran - Zagreb : Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2008, 323-328

ISBN
978-953-7138-12-7

Skup
30th International Conference on Information Technology Interfaces

Mjesto i datum
Cavtat, Hrvatska, 23.06.2008. - 26.06.2008

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Intelligent data analysis; Machine learning; Attribute ranking

Sažetak
The work critically analyzes machine learning based attribute selection algorithms from the perspective of their applicability for intelligent data analysis. Different approaches are illustrated by the results obtained by their application on a large medical domain of heart failure patients. Random Forest algorithm, based on voting of many relatively non-correlated classifiers, is accepted as the most reliable approach to attribute ranking. Additionally, it is demonstrated that rule-based machine learning algorithms can be used for feature ranking and that application of rule quality measures with different generality may be very useful for human understanding of the domain.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA