Title :
Discovering new knowledge with advanced data mining tool
Author :
Kocbek, Simon ; Kosec, Primoz ; Kokol, Peter ; Lenic, Mitja ; Debevc, Matjaz
Author_Institution :
Univ. of Maribor, Maribor
Abstract :
In this paper we present the results of an intelligent analysis of database which was gathered during e- learningproject 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.
Keywords :
computer aided instruction; data mining; decision trees; knowledge based systems; DISNET; data mining; decision tree construction; e-learning project; e-material usage; intelligent data analysis; knowledge discovery; Computer science; Data analysis; Data mining; Decision trees; Deductive databases; Electronic learning; Electronic mail; Medical services; Support vector machines; Unemployment;
Conference_Titel :
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location :
Niigata
Print_ISBN :
0-7695-2916-X
DOI :
10.1109/ICALT.2007.125
