| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Romero, C. & Ventura, S. | Educational data mining: A survey from 1995 to 2005 | 2007 | Expert Syst. Appl. Vol. 33(1), pp. 135-146 |
article | DOI URL |
| Abstract: 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. | |||||
BibTeX:
@article{romero07,
author = {Romero, C. and Ventura, S.},
title = {Educational data mining: A survey from 1995 to 2005},
journal = {Expert Syst. Appl.},
publisher = {Pergamon Press, Inc.},
year = {2007},
volume = {33},
number = {1},
pages = {135--146},
url = {http://portal.acm.org/citation.cfm?id=1223659},
doi = {http://dx.doi.org/10.1016/j.eswa.2006.04.005}
}
|
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Created by JabRef on 25/04/2024.