TY  - JOUR
AU  - Romero, C.
AU  - Ventura, S.
T1  - Educational data mining: A survey from 1995 to 2005
JO  - Expert Syst. Appl.
PY  - 2007/
VL  - 33
IS  - 1
SP  - 135
EP  - 146
UR  - http://portal.acm.org/citation.cfm?id=1223659
M3  - http://dx.doi.org/10.1016/j.eswa.2006.04.005
KW  - data
KW  - dm
KW  - e-learning
KW  - mining
KW  - survey
KW  - webzu
L1  - 
SN  - 
N1  - Educational data mining
N1  - 
AB  - Currently there is an increasing interest in data mining and educational systems, making educational data mining as a new growing research community. This paper surveys the application of data mining to traditional educational systems, particular web-based courses, well-known learning content management systems, and adaptive and intelligent web-based educational systems. Each of these systems has different data source and objectives for knowledge discovering. After preprocessing the available data in each case, data mining techniques can be applied: statistics and visualization; clustering, classification and outlier detection; association rule mining and pattern mining; and text mining. The success of the plentiful work needs much more specialized work in order for educational data mining to become a mature area.
ER  -