Publication detail

Air Quality Modelling by Decision Trees and Hybrid Rough Sets - Decision Trees

Authors: Jirava Pavel | Kašparová Miloslava | Křupka Jiří

Year: 2008

Type of publication: článek v odborném periodiku

Name of source: Scientific Papers of the University of Pardubice - Series D, Faculty of Economics and Administration

Publisher name: Univerzita Pardubice

Place: Pardubice

Page from-to: 52-63

Titles:

Language	Name	Abstract	Keywords
cze	Modelování kvality ovzduší pomocí rozhodovacích stromů a hybridních rough-rozhodovacích stromů	V práci je modelována kvalita ovzduší pomocí uvedených metod. Data o ovzduší pochází z monitorovacího systému HORIBA z lokality Pardubic. V článku jsou navrženy postupy řešení modelu a porovnány dosažené výsledky.	znečištění ovzduší;rozhodovací stromy;rough množiny;model
eng	Air Quality Modelling by Decision Trees and Hybrid Rough Sets - Decision Trees	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.	air quality;air pollution;daily observations;model;classification;rough sets;Czech Republic

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