Paper Info
Title
Discovering New Knowledge With Advanced Data Mining Tool
Abstract
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.
Year
DOI
Venue
2007
10.1109/ICALT.2007.125
7TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES, PROCEEDINGS
Keywords
Field
DocType
intelligence analysis,support vector machines,data mining,data analysis,knowledge discovery,decision tree,decision trees,random sampling,knowledge based systems,computer science,electronic learning
Data science,Decision tree,Data mining,Computer aided instruction,World Wide Web,Computer science,Knowledge-based systems,Knowledge extraction
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
5
Name
Order
Citations
PageRank
Simon Kocbek1234.96
Primoz Kosec2696.87
Peter Kokol330974.52
mitja lenic412612.16
Matjaz Debevc513020.87