DocumentCode :
1627160
Title :
Mining economic prosperity and environmental empathy indicators to classify empathy
Author :
Shahbaz, Muzammil ; Iftikahr, Masooma ; Mahmood, Rafia
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Eng. & Technol., Lahore, Pakistan
fYear :
2013
Firstpage :
273
Lastpage :
279
Abstract :
The role of environmental empathy indicators mentioned in this paper affect the empathy level of a country and shows how much a country is empathetic. We put forward a methodology to classify a country´s empathy by dividing it into five labels: (1) apathetic; (2) less-empathetic; (3) empathetic; (4) more-empathetic;(5) future-empathetic, by mining the selected economic prosperity and environmental empathy indicators. We justified our indicators by means of unsupervised clustering, and clustered world countries with respect to the economic prosperity and environmental empathy indicators and assigned them labels. Furthermore, building hierarchical structured decision trees on the labeled dataset help us in finding important patterns in classification of empathy and to evaluate the level of empathy of a country in an interesting and effective way.
Keywords :
data mining; decision trees; pattern classification; social sciences computing; apathetic label; data mining; economic prosperity; empathetic label; environmental empathy indicators; hierarchical structured decision trees; less-empathetic label; more-empathetic label; unsupervised clustering; Agriculture; Atmosphere; Economics; Lead; Optical wavelength conversion; clustering; data mining; decision trees; economic prosperity; empathy; environmental empathy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Society (i-Society), 2013 International Conference on
Conference_Location :
Toronto, ON
Type :
conf
Filename :
6636389
Link To Document :
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