Title
Finding Patterns of Students' Behavior in Synthetic Social Networks
Abstract
Spectral clustering is a data mining method used for finding patterns in high dimensional datasets. It has been applied effectively to solve many problems in signal processing, bioinformatics, etc. In this paper spectral clustering was implemented to find students’ patterns of behavior in an elearning system, to explore the relationship between the similarity of students’behavior and their academic performance.
Year
DOI
Venue
2010
10.1109/ASONAM.2010.63
ASONAM
Keywords
DocType
Citations 
elearning system,data mining method,spectral clustering,high dimensional datasets,paper spectral clustering,synthetic social networks,academic performance,signal processing,microeconomics,electronic learning,social network,clustering algorithms,data mining
Conference
0
PageRank 
References 
Authors
0.34
5
5
Name
Order
Citations
PageRank
Gamila Obadi181.29
Pavla Drazdilova292.40
Jan Martinovic312934.61
Katerina Slaninova4112.13
Václav Snasel51261210.53