Abstrakt:
This paper deals with air quality modelling by decision trees and by hybrid rough
sets-decision trees in the Czech Republic. We focused on daily observations of air polluting
substances concentrations in one of the cities in the Pardubice region. After data collection,
data description, and data pre-processing, we worked on the creation of classification models
and the analysis of the achieved results. As modelling algorithms we selected C5.0 algorithm,
boosting, and CHAID method. Finally is proposed hybrid model, where Rough Sets algorithm
for the purpose of attributes reduction is used.
