Using clustering to extract personality information from socio economic data

Ladas, Alexandros, Aickelin, Uwe, Garibaldi, Jonathan M. and Ferguson, Eamonn (2012) Using clustering to extract personality information from socio economic data. In: 12th UK Workshop on Computational Intelligence (UKCI 2012), 5-7 Sept 2012, Edinburgh, Scotland. (Unpublished)

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It has become apparent that models that have been applied widely in economics, including Machine Learning techniques and Data Mining methods, should take into consideration principles that derive from the theories of Personality Psychology in order to discover more comprehensive knowledge regarding complicated economic behaviours. In this work, we present a method to extract Behavioural Groups by using simple clustering techniques that can potentially reveal aspects of the Personalities for their members. We believe that this is very important because the psychological information regarding the Personalities of individuals is limited in real world applications and because it can become a useful tool in improving the traditional models of Knowledge Economy.

Item Type: Conference or Workshop Item (Paper)
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 18 Jul 2013 10:36
Last Modified: 04 May 2020 20:22

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