2010 International Conference on Advances in Social Networks Analysis and Mining (2010)
Aug. 9, 2010 to Aug. 11, 2010
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.
G. Obadi, K. Slaninová, V. Snášel, J. Martinovic and P. Dráždilová, "Finding Patterns of Students' Behavior in Synthetic Social Networks," 2010 International Conference on Advances in Social Networks Analysis and Mining(ASONAM), Odense, Denmark, 2010, pp. 411-413.