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