In this paper we present the results of an intelligent analysis of database which was gathered during e-learning project called DISNET [1] in which a random sample of around 300 unemployed people collaborated. The intelligent data analysis using advanced methods for decision tree construction was used in order to try to find the main factors that influence a trainee?s progress in knowing how to use e-materials. We also analysed how trainee?s gender influences on the usage of e-materials.
Citation:
Simon Kocbek, Primoz Kosec, Peter Kokol, Mitja Lenic, Matjaz Debevc, "Discovering new knowledge with advanced data mining tool," icalt, pp.408-410, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007