DocumentCode
3140960
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
fYear
2007
fDate
18-20 July 2007
Firstpage
408
Lastpage
410
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Learning Technologies, 2007. ICALT 2007. Seventh IEEE International Conference on
Conference_Location
Niigata
Print_ISBN
0-7695-2916-X
Type
conf
DOI
10.1109/ICALT.2007.125
Filename
4281048
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