• 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