Q-Entropy Approach to Selecting High Income Households

• Authors: K. Gajowniczek , K. Karpio , P. Łukasiewicz , A. Orłowski , T. Ząbkowski
• Languages of publication: EN

Abstracts

EN

A generalized algorithm for building classification trees, based on Tsallis q-entropy, is proposed and applied to classification of Polish households with respect to their incomes. Data for 2008 are used. Quality measures for obtained trees are compared for different values of q parameter. A method of choosing the optimum tree is elaborated.

Keywords

EN

05.45.Tp; 05.40.Ca; 07.05.Kf; 07.05.Mh

Discipline

• 05.40.Ca: Noise
• 05.45.Tp: Time series analysis
• 07.05.Mh: Neural networks, fuzzy logic, artificial intelligence
• 07.05.Kf: Data analysis: algorithms and implementation; data management(for data analysis in nuclear physics, see 29.85.-c)

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2015
• Volume: 127
• Issue: 3A
• Pages: A-38-A-44

Dates

published

2015-03

Contributors

author

K. Gajowniczek

• Faculty of Applied Informatics and Mathematics, WULS-SGGW, Nowoursynowska 159, 02-776, Warsaw, Poland

author

K. Karpio

• Faculty of Applied Informatics and Mathematics, WULS-SGGW, Nowoursynowska 159, 02-776, Warsaw, Poland

author

P. Łukasiewicz

• Faculty of Applied Informatics and Mathematics, WULS-SGGW, Nowoursynowska 159, 02-776, Warsaw, Poland

author

A. Orłowski

• Faculty of Applied Informatics and Mathematics, WULS-SGGW, Nowoursynowska 159, 02-776, Warsaw, Poland

author

T. Ząbkowski

• Faculty of Applied Informatics and Mathematics, WULS-SGGW, Nowoursynowska 159, 02-776, Warsaw, Poland

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Identifiers

DOI

10.12693/APhysPolA.127.A-38