CLASSIFICATION OF POLISH HOUSEHOLDS BASED ON THEIR INCOMES BY MEANS OF DECISION TREES

• Authors: Andrzej Karpio , Grzegorz Koszela , Arkadiusz Orłowski , Piotr Łukasiewicz
• Languages of publication: EN

Abstracts

EN

Classification trees included in SQL Server 2008R2 Analysis Services package have been used to classify Polish households based on their incomes. The analysis has been performed by means of the three algorithms and their effectiveness has been measured. Using the best algorithm a groups of households with the lowest and the largest incomes have been distinguished. The most important attributes describing households with the lowest and the largest incomes were identified and discussed.

Keywords

EN

income distribution; high incomes; classification trees; entropy; SQL Server

• Publisher: Katedra Ekonometrii i Statystyki, Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
• Journal: Metody Ilościowe w Badaniach Ekonomicznych
• Year: 2014
• Volume: 15
• Issue: 2
• Pages: 403-413

Dates

published

2014

Contributors

author

Andrzej Karpio

• Faculty of Applied Informatics and Mathematics Warsaw University of Life Sciences – SGGW

author

Grzegorz Koszela

• Faculty of Applied Informatics and Mathematics Warsaw University of Life Sciences – SGGW

author

Arkadiusz Orłowski

• Faculty of Applied Informatics and Mathematics Warsaw University of Life Sciences – SGGW

author

Piotr Łukasiewicz

• Faculty of Applied Informatics and Mathematics Warsaw University of Life Sciences – SGGW

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