%0 
%0 Journal Article
%A Romero, C. & Ventura, S.
%D 2007
%T Educational data mining: A survey from 1995 to 2005
%E 
%B Expert Syst. Appl.
%C 
%I Pergamon Press, Inc.
%V 33
%6
%N 1
%P 135--146
%& 
%Y 
%S 
%7
%8 
%9
%? 
%! 
%Z 
%@ 0957-4174
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%*
%L
%M
%1 
%2 Educational data mining
%3 article
%4 
%# 
%$ 
%F romero07
%K data, dm, e-learning, mining, survey, webzu
%X 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.
%Z 
%U http://portal.acm.org/citation.cfm?id=1223659
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%^